{"id":"W4389397215","doi":"10.1017/s0140525x23001620","title":"A deep new look at color","year":2023,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Misrepresentation; Perspective (graphical); Perception; Attribution; Deep neural networks; Computer science; Field (mathematics); Artificial intelligence; Cognitive science; Color vision; Psychology; Cognitive psychology; Artificial neural network; Social psychology; Neuroscience; Mathematics; Law; Political science","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":[0.0009035217,0.000876519,0.0006804045,0.001025715,0.0007008343,0.004335623,0.001789279,0.001962775,0.00727186],"category_scores_gemma":[0.003983325,0.0006327297,0.0005856868,0.001031402,0.00313016,0.01114935,0.002279009,0.007439428,0.002121592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335383,"about_ca_system_score_gemma":0.0007513002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841905,"about_ca_topic_score_gemma":0.00412411,"domain_scores_codex":[0.9995866,0.00007101004,0.00001779562,0.0001305436,0.0001470839,0.00004706328],"domain_scores_gemma":[0.9985672,0.0005716376,0.00005447625,0.0003005956,0.0003547927,0.000151271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001300949,0.00005514089,0.001255824,0.000255647,0.0001270559,0.00006938064,0.0002223104,0.008568739,0.003866377,0.704389,0.05119806,0.2298623],"study_design_scores_gemma":[0.00002191097,0.00004066039,0.0004859378,0.0001591406,0.00004885215,0.0002289931,0.00009498774,0.04541697,0.003414348,0.7863386,0.1637009,0.00004863447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01146866,0.04386418,0.7770179,0.09626778,0.006143452,0.00003581035,0.0007593081,0.001331034,0.06311195],"genre_scores_gemma":[0.4800041,0.05081948,0.334043,0.03663086,0.009134926,0.0001044416,0.001057568,0.001421945,0.08678366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00727186,"threshold_uncertainty_score":0.0243268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2030066610509133,"score_gpt":0.406039749897846,"score_spread":0.2030330888469326,"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."}}