{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137588,0.001140837,0.0006145469,0.005270748,0.0009379275,0.003099936,0.0009598703,0.0007049173,0.05297924],"category_scores_gemma":[0.007431734,0.0004786352,0.0006186662,0.003563513,0.0005769325,0.00443989,0.004371708,0.0006462418,0.02235921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006148375,"about_ca_system_score_gemma":0.001056681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360553,"about_ca_topic_score_gemma":0.00592974,"domain_scores_codex":[0.9989752,0.0002778359,0.0001088233,0.0002627294,0.0003195458,0.00005595576],"domain_scores_gemma":[0.9963237,0.001951151,0.0002845685,0.0005971747,0.0006042152,0.0002391889],"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":[0.001099405,0.0002535704,0.00897102,0.005385929,0.0001564965,0.001016516,0.01310137,0.001333314,0.05045553,0.02445679,0.2793522,0.6144177],"study_design_scores_gemma":[0.0001639429,0.0001608738,0.009863706,0.0004637505,0.00007034937,0.001246367,0.004811326,0.01081875,0.0139616,0.02838451,0.9298828,0.0001721128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0647432,0.002335601,0.3575104,0.002055199,0.0007831922,0.00254969,0.1251712,0.2422614,0.2025902],"genre_scores_gemma":[0.166102,0.001396853,0.6292201,0.001205847,0.0002827627,0.002732124,0.0958299,0.02684107,0.07638931],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05297924,"threshold_uncertainty_score":0,"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."}}