{"id":"W1981137939","doi":"10.1002/col.20680","title":"The Logvinenko object color atlas in practice","year":2011,"lang":"en","type":"article","venue":"Color Research & Application","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atlas (anatomy); Artificial intelligence; Color space; Computer science; Computer vision; Color model; Object (grammar); Color difference; Pattern recognition (psychology); Computer graphics (images); Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001990674,0.00009368439,0.00009312177,0.00009344916,0.0006610514,0.0001016391,0.0006887137,0.00003531245,0.00007808417],"category_scores_gemma":[0.0001220769,0.00007136957,0.00004017935,0.001208406,0.0003090956,0.000250717,0.0001776094,0.0003795828,0.0008688623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009198925,"about_ca_system_score_gemma":0.0002034156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576147,"about_ca_topic_score_gemma":0.0003105825,"domain_scores_codex":[0.9983665,0.0001691462,0.0002365397,0.0003723933,0.0003802913,0.0004750948],"domain_scores_gemma":[0.9980696,0.0008182295,0.00009122019,0.0005882558,0.0003338292,0.00009879781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002130608,0.0008606125,0.0136188,0.000006079957,0.00003058536,0.000001729825,0.001660102,0.00009214086,0.01207011,0.8031213,0.006692811,0.1616326],"study_design_scores_gemma":[0.0007522515,0.0003023149,0.07681867,0.00001493268,0.00002126394,0.000002533331,0.00629667,0.01458505,0.01321388,0.06510405,0.8225439,0.0003444515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7595534,0.00009453534,0.003371524,0.005905327,0.00006244863,0.00319978,0.00001348004,0.00006526679,0.2277343],"genre_scores_gemma":[0.9946727,0.00002637325,0.0005891217,0.00004552023,0.0001215376,0.003655621,0.00001346069,0.00001066681,0.0008650543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8158511,"threshold_uncertainty_score":0.9999091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07471827210582584,"score_gpt":0.4073258782079103,"score_spread":0.3326076061020845,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}