{"id":"W3038669968","doi":"10.1145/3357236.3395503","title":"Lexichrome","year":2020,"lang":"en","type":"article","venue":"","topic":"Color perception and design","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Palette (painting); Computer science; Thesaurus; Lexicon; Visualization; Variety (cybernetics); Natural language processing; Color term; Perception; Semantics (computer science); Process (computing); Information retrieval; Artificial intelligence; Psychology","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":["insufficient_payload"],"category_scores_codex":[0.00001848485,0.00002645478,0.00003644794,0.000008313084,0.00001194605,0.000005466881,0.00004211511,0.00002233873,0.2430129],"category_scores_gemma":[0.000004951064,0.00002255915,0.00002004728,0.00006080446,0.000009946456,0.00001263359,0.000007789261,0.00003316147,0.03548814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002687252,"about_ca_system_score_gemma":0.000003270879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049381,"about_ca_topic_score_gemma":0.000001436772,"domain_scores_codex":[0.9997571,0.00001619066,0.00004543136,0.00008714965,0.00003118844,0.00006293047],"domain_scores_gemma":[0.9998552,0.00000946841,0.000005333529,0.00006123439,0.00000560124,0.00006319919],"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":[0.00004147601,0.00002958714,0.0008830255,0.000001345934,0.000009798993,0.00001459998,0.003031885,6.882437e-7,0.00394123,0.06430598,0.9181669,0.009573475],"study_design_scores_gemma":[0.0006520004,0.0002624356,0.09302711,5.555021e-7,0.000005103476,0.000008754493,0.001835423,0.000134093,0.0001263183,0.0003832463,0.9034278,0.0001372016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04650164,0.00001410379,0.007052794,0.007092861,0.0001453583,0.0000446993,6.16261e-7,0.0001853962,0.9389625],"genre_scores_gemma":[0.9660225,4.390159e-7,0.0002333275,0.01546622,0.0001074135,0.000004017815,8.379542e-7,0.000003694086,0.01816158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9208009,"threshold_uncertainty_score":0.9652628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142847771713621,"score_gpt":0.3606657855674405,"score_spread":0.2178180138538195,"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."}}