{"id":"W4394214452","doi":"10.6084/m9.figshare.1171195","title":"Relationship between Canadian Borns and Eye Color","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eye color; Optometry; Psychology; Computer science; Medicine; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000583828,0.00187305,0.001416787,0.002335698,0.001638835,0.00196424,0.004058638,0.001814054,0.02516367],"category_scores_gemma":[0.006475988,0.0005500013,0.001742432,0.005129919,0.0005292857,0.0007174156,0.001286419,0.001913071,0.01159451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006591008,"about_ca_system_score_gemma":0.01289436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8604864,"about_ca_topic_score_gemma":0.9254856,"domain_scores_codex":[0.9994453,0.00003320896,0.00003821217,0.0001675007,0.000163036,0.000152755],"domain_scores_gemma":[0.9976286,0.0004512087,0.0002061061,0.0002830437,0.001089581,0.0003414924],"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":[0.0002823205,0.00005257399,0.03287918,0.0004947456,0.0002161998,0.00006067796,0.00005329583,0.000461777,0.00009932711,0.000362719,0.9597278,0.005309334],"study_design_scores_gemma":[0.0009259513,0.00006424348,0.4491663,0.001142718,0.0007647514,0.0004976368,0.0007260656,0.003729919,0.0009323623,0.002112048,0.5396951,0.0002428732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002157577,0.0002160396,0.00004934748,0.0001315206,0.00002771069,0.00000851341,0.9967203,0.0001037134,0.0005853676],"genre_scores_gemma":[0.007966788,0.0001887466,0.0002328946,0.00007875803,0.0000141283,0.00006110142,0.9901184,0.0000352584,0.001303952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1395136,"threshold_uncertainty_score":0.2806703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06249213200464099,"score_gpt":0.3424924620990832,"score_spread":0.2800003300944422,"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."}}