{"id":"W2055535946","doi":"10.1002/col.10049","title":"A data set for color research","year":2002,"lang":"en","type":"article","venue":"Color Research & Application","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":286,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data set; Computer science; Set (abstract data type); Context (archaeology); Process (computing); Experimental data; Data collection; Artificial intelligence; Computer vision; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001857811,0.0009586014,0.0008426796,0.00728469,0.001637079,0.00194382,0.0018894,0.001611963,0.01748207],"category_scores_gemma":[0.01041176,0.0003851286,0.001060019,0.01138398,0.0006998856,0.001552716,0.002051441,0.001686458,0.01291656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373171,"about_ca_system_score_gemma":0.001809699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116658,"about_ca_topic_score_gemma":0.01322528,"domain_scores_codex":[0.9958898,0.000730865,0.0005723649,0.0008279535,0.001664954,0.0003140972],"domain_scores_gemma":[0.9880711,0.002159711,0.0007824794,0.003666855,0.004592197,0.0007276856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001632088,0.001896039,0.05005669,0.001635241,0.0002686495,0.0006606421,0.0006795473,0.006373472,0.009123215,0.01282136,0.6922547,0.2225984],"study_design_scores_gemma":[0.0002895899,0.0002086365,0.07112717,0.0002031673,0.00008794482,0.0007536634,0.0009356866,0.00629489,0.01278504,0.005188411,0.9019728,0.0001530084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0721078,0.00102558,0.01356304,0.0008678583,0.0003133022,0.001341365,0.8826954,0.003499472,0.02458609],"genre_scores_gemma":[0.06593782,0.0003654553,0.02730686,0.0002915632,0.0000916207,0.001901337,0.8991041,0.0004928337,0.004508514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01748207,"threshold_uncertainty_score":0.05848336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.61632698726718,"score_gpt":0.5612209069697695,"score_spread":0.0551060802974106,"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."}}