{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684101,0.0003924443,0.0004914948,0.002233814,0.0007343874,0.003713928,0.001608189,0.0005865277,0.01274628],"category_scores_gemma":[0.005854968,0.0005273354,0.0005335296,0.002341259,0.00121683,0.002906799,0.002753846,0.001106376,0.004544491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437627,"about_ca_system_score_gemma":0.001457053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316851,"about_ca_topic_score_gemma":0.005272591,"domain_scores_codex":[0.9991316,0.0002164315,0.00004053642,0.000196877,0.0003628659,0.00005168015],"domain_scores_gemma":[0.9988417,0.0002783876,0.00004847151,0.0003980359,0.0003430132,0.0000903856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002149741,0.00004176081,0.003005804,0.0002151132,0.00004357758,0.0001360083,0.0004452269,0.03100509,0.009909362,0.2458929,0.02392047,0.6851697],"study_design_scores_gemma":[0.00004976236,0.0000651373,0.004045513,0.0001435474,0.00002718654,0.0009376645,0.0002929375,0.4394354,0.01717995,0.2769495,0.2607508,0.0001226164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005879002,0.0002834803,0.9748663,0.000215886,0.00008828322,0.00005670893,0.0002278682,0.003173583,0.01520886],"genre_scores_gemma":[0.09534504,0.000391891,0.8953942,0.0001377689,0.00003847374,0.0001492264,0.000493279,0.001009164,0.007040916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01274628,"threshold_uncertainty_score":0.04264051,"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."}}