{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"0401e6811847","filters":{"venue":"International Journal of Computational Vision and Robotics"}},"results":[{"id":"W4256265081","doi":"10.1504/ijcvr.2017.087751","title":"A new method for automatic date fruit classification","year":2017,"lang":"en","type":"article","venue":"International Journal of Computational Vision and Robotics","topic":"Date Palm Research Studies","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Benchmark (surveying); Computer science; Variety (cybernetics); Artificial intelligence; Variation (astronomy); Multivariate statistics; Gaussian; Pattern recognition (psychology); Mixture model; Data mining; Machine learning; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.0762217349375567,"gpt":0.4210393737690357,"spread":0.344817638831479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437619,0.00007495724,0.0001379933,0.00003209018,0.0002761112,0.0003360998,0.0004640459,0.00003293998,0.00005293075],"category_scores_gemma":[0.0005463375,0.00003041028,0.00008052952,0.00002601152,0.00004322976,0.000276483,0.0001201022,0.00007539301,0.000005017891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001791547,"about_ca_system_score_gemma":0.00004099205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172114,"about_ca_topic_score_gemma":0.00001975179,"domain_scores_codex":[0.9990158,0.00003594484,0.0002965333,0.00008984529,0.0004713367,0.00009053634],"domain_scores_gemma":[0.9979815,0.0007542402,0.0004352418,0.00003392534,0.0006979784,0.00009706215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009653424,0.00008315735,0.001773126,0.000009230404,0.0001620169,0.00000704205,0.0001034113,0.006220452,0.004309162,0.01335346,0.008490745,0.9653917],"study_design_scores_gemma":[0.00104188,0.0004295564,0.6916128,0.0001454388,0.00003287076,0.00009530998,0.0002066674,0.2358157,0.0001159968,0.05358321,0.01676496,0.0001555781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1225477,0.0003423025,0.7514941,0.1219622,0.002043155,0.0004454638,0.0001367311,0.00003541495,0.0009929774],"genre_scores_gemma":[0.7152282,0.0001437814,0.2833829,0.0002327747,0.0006695983,0.000001786906,0.00004232006,0.000001339736,0.0002972763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9652361,"threshold_uncertainty_score":0.3241018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2738953145","doi":"10.1504/ijcvr.2017.10006506","title":"A new method for automatic date fruit classification","year":2017,"lang":"en","type":"article","venue":"International Journal of Computational Vision and Robotics","topic":"Date Palm Research Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Benchmark (surveying); Computer science; Variety (cybernetics); Artificial intelligence; Multivariate statistics; Variation (astronomy); Pattern recognition (psychology); Gaussian; Mixture model; Machine learning; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.0762217349375567,"gpt":0.4210393737690357,"spread":0.344817638831479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437619,0.00007495724,0.0001379933,0.00003209018,0.0002761112,0.0003360998,0.0004640459,0.00003293998,0.00005293075],"category_scores_gemma":[0.0005463375,0.00003041028,0.00008052952,0.00002601152,0.00004322976,0.000276483,0.0001201022,0.00007539301,0.000005017891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001791547,"about_ca_system_score_gemma":0.00004099205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172114,"about_ca_topic_score_gemma":0.00001975179,"domain_scores_codex":[0.9990158,0.00003594484,0.0002965333,0.00008984529,0.0004713367,0.00009053634],"domain_scores_gemma":[0.9979815,0.0007542402,0.0004352418,0.00003392534,0.0006979784,0.00009706215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009653424,0.00008315735,0.001773126,0.000009230404,0.0001620169,0.00000704205,0.0001034113,0.006220452,0.004309162,0.01335346,0.008490745,0.9653917],"study_design_scores_gemma":[0.00104188,0.0004295564,0.6916128,0.0001454388,0.00003287076,0.00009530998,0.0002066674,0.2358157,0.0001159968,0.05358321,0.01676496,0.0001555781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1225477,0.0003423025,0.7514941,0.1219622,0.002043155,0.0004454638,0.0001367311,0.00003541495,0.0009929774],"genre_scores_gemma":[0.7152282,0.0001437814,0.2833829,0.0002327747,0.0006695983,0.000001786906,0.00004232006,0.000001339736,0.0002972763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9652361,"threshold_uncertainty_score":0.3241018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2149473298","doi":"10.1504/ijcvr.2012.046416","title":"A novel approach for gesture control video games based on perceptual features: modelling, tracking and recognition","year":2012,"lang":"en","type":"article","venue":"International Journal of Computational Vision and Robotics","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Gesture; Computer science; Gesture recognition; Video game; Artificial intelligence; Computer vision; Video tracking; Perception; Representation (politics); Object (grammar); Grayscale; Interface (matter); Human–computer interaction; Multimedia; Image (mathematics)","retraction":null,"screen_n_in":null,"score":{"opus":0.03928474298264812,"gpt":0.2953024154637869,"spread":0.2560176724811388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335479,0.00015458,0.0002215341,0.0002925632,0.0001007176,0.0002576076,0.0002350021,0.00009883658,0.000002516376],"category_scores_gemma":[0.0001257367,0.0001186938,0.0001084491,0.00007662028,0.00004310556,0.0005879874,0.00002937364,0.0002000158,0.000001795127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004095809,"about_ca_system_score_gemma":0.00007348285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001225591,"about_ca_topic_score_gemma":2.61029e-7,"domain_scores_codex":[0.9985402,0.00007066301,0.0004190546,0.0001579241,0.0006598189,0.0001523296],"domain_scores_gemma":[0.9975522,0.0008737542,0.000350315,0.00006193283,0.001002167,0.0001596716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001578166,0.0003677119,0.0001859079,0.00002639291,0.00009192777,0.000002346236,0.000884037,0.9591838,0.00009623303,0.003700311,0.0006574909,0.03464608],"study_design_scores_gemma":[0.002717718,0.0002511005,0.003886389,0.000182498,0.00002856364,0.0005373204,0.0001311338,0.9892113,0.00002009008,0.002314652,0.0005581632,0.0001610372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00325175,0.0003144838,0.9934638,0.001952134,0.0007030656,0.0001699179,0.0000270743,0.00001734381,0.0001004029],"genre_scores_gemma":[0.6580588,0.0000243811,0.3404816,0.0009493607,0.0004373865,0.000003451375,0.00002208726,0.000008103719,0.00001480951],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6548071,"threshold_uncertainty_score":0.4840191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2917617771","doi":"10.1504/ijcvr.2019.10019409","title":"Bio-inspired visual attention process using spiking neural networks controlling a camera","year":2019,"lang":"en","type":"article","venue":"International Journal of Computational Vision and Robotics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Cégep du Vieux Montréal; University of Ottawa","funders":"","keywords":"Computer science; Stimulus (psychology); Artificial intelligence; Spiking neural network; Artificial neural network; Implementation; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.0122549793155862,"gpt":0.3042663193083429,"spread":0.2920113399927567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001534778,0.000137575,0.0002097456,0.0001860593,0.0000676811,0.0000941505,0.000137189,0.00005162716,0.000009388262],"category_scores_gemma":[0.00002635718,0.0001220638,0.0000892322,0.0001028552,0.00002500036,0.0003974958,0.00003257294,0.0002416582,0.000003454147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005501434,"about_ca_system_score_gemma":0.00002337739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.34252e-7,"about_ca_topic_score_gemma":2.243149e-7,"domain_scores_codex":[0.9988623,0.00002662739,0.0004812159,0.00009533457,0.00039824,0.0001362623],"domain_scores_gemma":[0.9990536,0.0001884737,0.0002370937,0.00003170565,0.0004158421,0.00007326389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006718745,0.00002268032,0.002371528,0.00001860965,0.00006405547,0.00002186396,0.00006467468,0.988626,0.002274795,0.0001142808,0.00000474067,0.006349577],"study_design_scores_gemma":[0.0009987298,0.00009403221,0.003153938,0.0002136467,0.00001894874,0.0003005923,0.00009818187,0.9943435,0.0001099323,0.0005239007,0.00001645433,0.0001281568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6417482,0.000180253,0.3566083,0.00008200641,0.001288328,0.00005230191,0.000001077205,0.00002327799,0.00001624129],"genre_scores_gemma":[0.993568,0.00003177294,0.005809143,0.0001297263,0.0004302819,2.003518e-7,0.000007493185,0.00001907857,0.000004321407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3518198,"threshold_uncertainty_score":0.4977618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4245657312","doi":"10.1504/ijcvr.2019.098006","title":"Bio-inspired visual attention process using spiking neural networks controlling a camera","year":2019,"lang":"en","type":"article","venue":"International Journal of Computational Vision and Robotics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Cégep du Vieux Montréal; University of Ottawa","funders":"","keywords":"Computer science; Stimulus (psychology); Artificial intelligence; Spiking neural network; Implementation; Artificial neural network; Computer vision; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.0122549793155862,"gpt":0.3042663193083429,"spread":0.2920113399927567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001534778,0.000137575,0.0002097456,0.0001860593,0.0000676811,0.0000941505,0.000137189,0.00005162716,0.000009388262],"category_scores_gemma":[0.00002635718,0.0001220638,0.0000892322,0.0001028552,0.00002500036,0.0003974958,0.00003257294,0.0002416582,0.000003454147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005501434,"about_ca_system_score_gemma":0.00002337739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.34252e-7,"about_ca_topic_score_gemma":2.243149e-7,"domain_scores_codex":[0.9988623,0.00002662739,0.0004812159,0.00009533457,0.00039824,0.0001362623],"domain_scores_gemma":[0.9990536,0.0001884737,0.0002370937,0.00003170565,0.0004158421,0.00007326389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006718745,0.00002268032,0.002371528,0.00001860965,0.00006405547,0.00002186396,0.00006467468,0.988626,0.002274795,0.0001142808,0.00000474067,0.006349577],"study_design_scores_gemma":[0.0009987298,0.00009403221,0.003153938,0.0002136467,0.00001894874,0.0003005923,0.00009818187,0.9943435,0.0001099323,0.0005239007,0.00001645433,0.0001281568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6417482,0.000180253,0.3566083,0.00008200641,0.001288328,0.00005230191,0.000001077205,0.00002327799,0.00001624129],"genre_scores_gemma":[0.993568,0.00003177294,0.005809143,0.0001297263,0.0004302819,2.003518e-7,0.000007493185,0.00001907857,0.000004321407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3518198,"threshold_uncertainty_score":0.4977618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392400482","doi":"10.1504/ijcvr.2024.136996","title":"Quantitative analysis of transfer and incremental learning for image classification","year":2024,"lang":"en","type":"article","venue":"International Journal of Computational Vision and Robotics","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Transfer of learning; Artificial intelligence; Image (mathematics); Pattern recognition (psychology); Machine learning; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.02947703115021703,"gpt":0.3580208673321261,"spread":0.3285438361819091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386628,0.00006214393,0.0001355678,0.0003504753,0.00005144117,0.0001636422,0.0001690381,0.00002288176,0.00000375279],"category_scores_gemma":[0.00002797231,0.00004956717,0.00009770482,0.0002700741,0.00005220153,0.000342559,0.00003587724,0.00008620069,2.964059e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001645232,"about_ca_system_score_gemma":0.00004157289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001441935,"about_ca_topic_score_gemma":0.000001243894,"domain_scores_codex":[0.9991933,0.00002877926,0.0003435364,0.0001041589,0.0002804198,0.00004984222],"domain_scores_gemma":[0.9987792,0.0006396475,0.0001017372,0.00003206675,0.0004059971,0.00004136323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003480964,0.00004771891,0.0002257977,0.0000178761,0.0005976573,0.000004250286,0.0005743809,0.4551142,0.003627008,0.5190843,0.0001376414,0.02053439],"study_design_scores_gemma":[0.0002053575,0.0001570557,0.009418597,0.00005222174,0.0001039532,0.0000264462,0.00008846232,0.9797472,0.00006381054,0.009782883,0.0003022685,0.00005172851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08077554,0.0002834911,0.9156462,0.003024912,0.0001700106,0.00005102857,0.000009511818,0.000008804739,0.00003049407],"genre_scores_gemma":[0.8578636,0.0001620283,0.141848,0.00005400976,0.0000384856,0.000001102025,0.0000187099,0.000003327174,0.00001066447],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7770881,"threshold_uncertainty_score":0.2021291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}