{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"1623354772cc","filters":{"venue":"Conference on Colour in Graphics Imaging and Vision"}},"results":[{"id":"W39969610","doi":"10.2352/cgiv.2008.4.1.art00079","title":"Color Emotions for Image Classification and Retrieval","year":2008,"lang":"en","type":"article","venue":"Conference on Colour in Graphics Imaging and Vision","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Computer science; Image retrieval; Artificial intelligence; Color histogram; RGB color model; Color image; Pattern recognition (psychology); Content-based image retrieval; Histogram; Feature (linguistics); Visual Word; Image (mathematics); Feature extraction; Information retrieval; Computer vision; Image processing","retraction":null,"screen_n_in":null,"score":{"opus":0.05519990308156125,"gpt":0.3363256711611356,"spread":0.2811257680795743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004690462,0.0001378928,0.0001588656,0.0002872607,0.0003634015,0.0001867122,0.0002472205,0.00007501224,0.000001969681],"category_scores_gemma":[0.0001649357,0.0001282039,0.00003529064,0.0004379325,0.0002868856,0.0004302143,0.00007910075,0.0001865298,0.000002390067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002613771,"about_ca_system_score_gemma":0.00007951718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008118511,"about_ca_topic_score_gemma":0.000002447563,"domain_scores_codex":[0.9988555,0.00006867638,0.000240653,0.0004560047,0.0001766563,0.0002025261],"domain_scores_gemma":[0.9990755,0.0001919475,0.0001039599,0.0002808713,0.0002639015,0.0000838747],"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":[0.0001143455,0.0002561107,0.006714871,0.00006688215,0.000006658398,0.00001653694,0.0008030272,2.334828e-7,0.05531047,0.8793729,0.001111803,0.05622616],"study_design_scores_gemma":[0.001405602,0.0006178623,0.3071306,0.0002216036,0.00001108555,0.0001013803,0.000230117,0.6060967,0.008474565,0.07252205,0.00267447,0.000513919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2555597,0.0001924358,0.7290406,0.01300564,0.0001766871,0.0006904859,0.00001244025,0.000298809,0.001023168],"genre_scores_gemma":[0.9852885,0.001145311,0.01314558,0.000265509,0.00001611726,0.00002721921,0.000006580805,0.000007670441,0.00009748337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8068509,"threshold_uncertainty_score":0.5228003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2407396651","doi":"10.2352/cgiv.2004.2.1.art00110","title":"Calibrated Colour Mapping Between LCD and CRT Displays: A Case Study","year":2004,"lang":"en","type":"article","venue":"Conference on Colour in Graphics Imaging and Vision","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Liquid-crystal display; Lookup table; Computer science; Masking (illustration); Characterization (materials science); Computer graphics (images); Chromaticity; Artificial intelligence; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.03600664520375278,"gpt":0.3419987560306032,"spread":0.3059921108268504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002996761,0.0001598575,0.0001955598,0.000192759,0.0003740435,0.00023112,0.0001169833,0.00003107472,0.00001026419],"category_scores_gemma":[0.000007257617,0.0001460111,0.00002547177,0.0004880567,0.0001518156,0.0001907579,0.00009977615,0.000260206,0.000003142688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001464223,"about_ca_system_score_gemma":0.00007800602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752306,"about_ca_topic_score_gemma":0.0001671738,"domain_scores_codex":[0.9989435,0.00005007107,0.0002251311,0.0004157808,0.0001280262,0.0002374869],"domain_scores_gemma":[0.9994612,0.00009586654,0.00007576834,0.0001865223,0.00005955607,0.0001210927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009182949,0.0003295636,0.938836,0.00000801086,0.00001270745,0.00009675712,0.00226369,0.00002243483,0.0003419515,0.03317087,0.00002582446,0.02488305],"study_design_scores_gemma":[0.005029439,0.0008254732,0.83736,0.0005593019,0.00007941121,0.00008562139,0.04825058,0.02345307,0.0002397007,0.0826249,0.0005318669,0.0009606582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958841,0.00002395898,0.001900815,0.001211035,0.00003275898,0.0004090858,0.00001575439,0.00002874571,0.0004936992],"genre_scores_gemma":[0.999682,0.00001464169,0.0001164118,0.00007088763,0.00003207917,0.00005195904,0.000006912718,0.000008171576,0.00001694259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.101476,"threshold_uncertainty_score":0.5954161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2403070934","doi":"10.2352/cgiv.2004.2.1.art00060","title":"Improved CFA Interpolation Approach","year":2004,"lang":"en","type":"article","venue":"Conference on Colour in Graphics Imaging and Vision","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Essays on Canadian Writing; University of Toronto","funders":"","keywords":"Demosaicing; Bilinear interpolation; Interpolation (computer graphics); Color filter array; Artificial intelligence; Computer vision; Computer science; Enhanced Data Rates for GSM Evolution; Image scaling; Stairstep interpolation; Color difference; Nearest-neighbor interpolation; Bicubic interpolation; Multivariate interpolation; Color image; Algorithm; Image (mathematics); Color gel; Image processing; Layer (electronics)","retraction":null,"screen_n_in":null,"score":{"opus":0.03017601957769946,"gpt":0.323006309887377,"spread":0.2928302903096776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007864877,0.000152292,0.0001639325,0.0003438105,0.0001437196,0.0003803804,0.0003645731,0.00006370329,0.000001548495],"category_scores_gemma":[0.00007380129,0.0001366633,0.00003961239,0.0004360579,0.0000936724,0.0004628006,0.0001378176,0.0003192455,0.000002931521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002836222,"about_ca_system_score_gemma":0.00007312021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008321733,"about_ca_topic_score_gemma":0.000007217056,"domain_scores_codex":[0.9987916,0.0001256627,0.0002142,0.0004516519,0.0001757544,0.0002411848],"domain_scores_gemma":[0.9993598,0.00007978753,0.00007385831,0.000313566,0.00009844806,0.00007455498],"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":[0.00009508496,0.0003099711,0.002104288,0.00004029306,0.000008107364,0.0000367815,0.002399937,0.00009408772,0.02934762,0.6343182,0.00007705066,0.3311686],"study_design_scores_gemma":[0.001750263,0.0002407758,0.00998746,0.0002295386,0.00000445964,0.00002896217,0.0001219286,0.8469157,0.00143161,0.1388986,0.0001004675,0.0002902446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03902096,0.0001330248,0.9561762,0.001514456,0.0002236624,0.0001484663,6.32543e-7,0.00009344375,0.002689115],"genre_scores_gemma":[0.9331078,0.0000686224,0.06623953,0.0005229639,0.0000193309,0.000007929544,0.000002260605,0.000007084065,0.00002446629],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8940868,"threshold_uncertainty_score":0.5572966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2400376891","doi":"10.2352/cgiv.2008.4.1.art00098","title":"NRC robot-based gonioreflectometer for spectral BRDF measurement","year":2008,"lang":"en","type":"article","venue":"Conference on Colour in Graphics Imaging and Vision","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bidirectional reflectance distribution function; Multispectral image; Reflectivity; Calibration; Remote sensing; Robot; Computer science; Sampling (signal processing); Computer vision; Artificial intelligence; Measure (data warehouse); Spectral power distribution; Characterization (materials science); Optics; Geology; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.07555611708041023,"gpt":0.3093233588973837,"spread":0.2337672418169735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004943323,0.0001538227,0.0001571663,0.0003091356,0.00009669896,0.00005787077,0.00008332124,0.00005576742,0.00001171711],"category_scores_gemma":[0.0000518428,0.0001493697,0.00005325945,0.0001858595,0.00006195816,0.00009470993,0.000008557003,0.0001693129,0.000001527931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008819087,"about_ca_system_score_gemma":0.00005886609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009524981,"about_ca_topic_score_gemma":0.00005083347,"domain_scores_codex":[0.9990128,0.00002672798,0.000194539,0.0002076518,0.0003382877,0.0002199682],"domain_scores_gemma":[0.9995584,0.00003329553,0.00002516626,0.0001412572,0.0001732364,0.0000686663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007753627,0.001027959,0.05996261,0.0008579842,0.0001056137,0.00007952205,0.001440794,0.003334447,0.6873307,0.06184549,0.04189577,0.1413437],"study_design_scores_gemma":[0.004132285,0.0007513175,0.06316125,0.0009063475,0.00003241906,0.00001834813,0.00007885294,0.7848781,0.125212,0.007009732,0.0127663,0.001053131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4633125,0.0009720515,0.5194218,0.003110955,0.0008987511,0.001859376,0.00002386927,0.001727688,0.008672956],"genre_scores_gemma":[0.9972405,0.0002188975,0.002143651,0.000279266,0.0000235046,0.00005888482,0.000005554511,0.00002008581,0.000009668944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7815436,"threshold_uncertainty_score":0.609112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2397814520","doi":"10.2352/cgiv.2004.2.1.art00052","title":"Application of Spectral Estimation Techniques to the Improvement of a 3D-color Digitizing Camera","year":2004,"lang":"en","type":"article","venue":"Conference on Colour in Graphics Imaging and Vision","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Multispectral image; Wavelength; Optics; Color difference; Artificial intelligence; Computer science; Digital camera; Laser; Laser scanning; Colorimetry; Computer vision; Materials science; Mathematics; Computer graphics (images); Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01156939054144568,"gpt":0.3123551802383864,"spread":0.3007857896969407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173226,0.00007384148,0.0001026394,0.000113914,0.00008577012,0.00003498975,0.0001344034,0.00001421266,0.00000256949],"category_scores_gemma":[0.000006818113,0.00005733794,0.00002357615,0.0003340798,0.00009099286,0.00008257963,0.00004129411,0.00008940046,0.000001014679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000151445,"about_ca_system_score_gemma":0.0000490305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005090486,"about_ca_topic_score_gemma":0.00003774742,"domain_scores_codex":[0.9993923,0.000008852652,0.0001984318,0.0001749533,0.0001179511,0.0001074852],"domain_scores_gemma":[0.9995753,0.00003634494,0.0001097873,0.0001709653,0.00007876902,0.00002888229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001578476,0.0001707317,0.009603807,0.00001209588,0.000003536224,1.044995e-7,0.0006196863,0.0006020613,0.05176833,0.3287165,0.0000127647,0.6084747],"study_design_scores_gemma":[0.001385858,0.00131828,0.1299174,0.0009042149,0.00004816488,0.000001873984,0.003758262,0.2006642,0.3027536,0.3578183,0.0008300794,0.0005997457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970708,0.000007675946,0.09930571,0.002477414,0.00001530845,0.0004659548,0.00001018211,0.0000128387,0.000634079],"genre_scores_gemma":[0.9977168,0.000008547666,0.002062833,0.00007928198,0.0000127478,0.0001081973,0.000005278042,0.00000341756,0.000002846004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6078749,"threshold_uncertainty_score":0.2338173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}