{"meta":{"query_hash":"46e6b5b100a2","filters":{"venue":"Image processing series"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/46e6b5b100a2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Image+processing+series"},"results":[{"id":"W2290467607","doi":"10.1201/9781420084368","title":"Adaptive Image Processing","year":2009,"lang":"en","type":"book","venue":"Image processing series","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Image processing; Artificial intelligence; Visual processing; Digital image processing; Computational intelligence; Information processing; Perception; Machine learning; Pattern recognition (psychology); Image (mathematics)","score_opus":0.014260085611604013,"score_gpt":0.2345865646589746,"score_spread":0.22032647904737057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290467607","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014051668,0.021809416,0.7380503,0.0015325216,0.0030458686,0.00016810563,0.0004331713,0.0032140054,0.23034148],"genre_scores_gemma":[0.045631297,0.034997154,0.51037705,0.0024606024,0.0021990496,0.00031500813,0.0014005443,0.0009011533,0.40171817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953806,0.000042178362,0.00001993505,0.000096592354,0.00027842604,0.000024868057],"domain_scores_gemma":[0.9997044,0.00008161387,0.0000149783045,0.000063684114,0.00012147495,0.000013790057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035229116,0.0008919512,0.0006406323,0.0011834675,0.00044395676,0.0024880583,0.0011432682,0.0013463495,0.0342232],"category_scores_gemma":[0.0011180738,0.00036335585,0.0005480264,0.0014543515,0.0008220632,0.0017448458,0.0012571124,0.0015248415,0.020165868],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037440168,0.000023935987,0.00011883083,0.0006152707,0.000046852547,0.00019905755,0.00012958296,0.0075894874,0.014874219,0.13186999,0.13726747,0.7072279],"study_design_scores_gemma":[0.000009344362,0.00004452193,0.00042117698,0.00017139879,0.000019084471,0.00096142205,0.00006946727,0.03899913,0.008086406,0.062204182,0.8889781,0.000035722554],"about_ca_topic_score_codex":0.0006180792,"about_ca_topic_score_gemma":0.0008076563,"teacher_disagreement_score":0.0342232,"about_ca_system_score_codex":0.00046889335,"about_ca_system_score_gemma":0.00041996627,"threshold_uncertainty_score":0.114488006},"labels":[],"label_agreement":null},{"id":"W627818147","doi":"10.1201/9781420009781","title":"Color Image Processing","year":2006,"lang":"en","type":"book","venue":"Image processing series","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Image processing; Computer graphics (images); Image (mathematics)","score_opus":0.009140786485489204,"score_gpt":0.21580692135774796,"score_spread":0.20666613487225874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627818147","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015048666,0.005767168,0.2941604,0.0012818984,0.003805175,0.00020015493,0.001563214,0.010422744,0.68129444],"genre_scores_gemma":[0.0040993863,0.0038652893,0.042975202,0.0005212269,0.00058028824,0.0000574616,0.001243669,0.001303628,0.94535387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997881,0.000008157786,0.0000056428385,0.00005849747,0.00012207498,0.000017556004],"domain_scores_gemma":[0.9996705,0.000023324956,0.000007462886,0.00004314389,0.00022624158,0.000029389159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030576144,0.0014858977,0.0007433461,0.0022604032,0.00053914165,0.0020951799,0.0010681247,0.0009009972,0.19510521],"category_scores_gemma":[0.0004291921,0.00040334216,0.00065466046,0.0018541013,0.00032552367,0.0015506247,0.0009948873,0.0012258651,0.15166822],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002853994,0.000036734113,0.0000796709,0.00017474296,0.000012793793,0.000060548835,0.000029150033,0.00076164195,0.014996375,0.010203914,0.44113198,0.53248394],"study_design_scores_gemma":[0.000005015881,0.000027556005,0.0004827596,0.000053167736,0.000014181504,0.00028890057,0.000022714643,0.0038779855,0.007067077,0.0060930904,0.9820494,0.000018054374],"about_ca_topic_score_codex":0.0018654907,"about_ca_topic_score_gemma":0.0039176345,"teacher_disagreement_score":0.19510521,"about_ca_system_score_codex":0.00047390038,"about_ca_system_score_gemma":0.0004284959,"threshold_uncertainty_score":0.65269196},"labels":[],"label_agreement":null}]}