{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007068822,0.000223496,0.0002416525,0.0002652684,0.0002189769,0.0000802638,0.0002482659,0.0006751759,0.5579051],"category_scores_gemma":[0.0007448602,0.0002390428,0.00004524566,0.0001829861,0.00001350004,0.00005198969,0.0000352452,0.0003760529,0.02173389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009201925,"about_ca_system_score_gemma":0.0002112159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05642328,"about_ca_topic_score_gemma":0.3026617,"domain_scores_codex":[0.998838,0.0001139457,0.0002239148,0.0003901445,0.0001187077,0.0003152526],"domain_scores_gemma":[0.9987013,0.0002564327,0.0001268712,0.0005379712,0.0000778706,0.0002994988],"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":[0.000001663935,0.000005464447,0.003979623,0.0001030802,0.000017158,0.00001114799,0.0002313255,1.591825e-7,1.650992e-8,0.00002220419,0.9955168,0.0001113689],"study_design_scores_gemma":[0.0001140053,0.00001891657,0.3206241,0.00009110387,0.00003482612,0.000003551236,0.00003721354,2.548531e-7,3.563204e-8,0.00001224965,0.6788821,0.0001816019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001024827,0.0002075911,2.603273e-7,0.00008720006,0.0002057438,0.0002834091,0.9965522,0.00004226626,0.002518829],"genre_scores_gemma":[0.004768941,0.000002015629,0.000002526918,0.0003581182,0.00117807,0.0001597128,0.9897738,0.00003077909,0.003726028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5361713,"threshold_uncertainty_score":0.9790278,"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."}}