{"id":"W6950760789","doi":"10.5683/sp3/fuyxas","title":"Cranial Nonmetric Trait Database, 2013","year":2012,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Trait; Arctic; The arctic; Statistical analysis","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":[0.0007418444,0.002537832,0.00156092,0.003061145,0.000702789,0.001580302,0.003031796,0.00141572,0.0297417],"category_scores_gemma":[0.004251417,0.0006104387,0.001095455,0.004305326,0.0004752424,0.0007551752,0.001667148,0.001413872,0.03438429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009959484,"about_ca_system_score_gemma":0.001771866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03639209,"about_ca_topic_score_gemma":0.09437038,"domain_scores_codex":[0.9993644,0.00006999532,0.00007561473,0.0002112497,0.0002028581,0.00007579139],"domain_scores_gemma":[0.9989306,0.0002375189,0.0001384037,0.0002622168,0.0003148589,0.0001163617],"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":[0.0001477911,0.00002852673,0.003326392,0.000854835,0.0001288862,0.0001123621,0.00003184054,0.0005240546,0.0004084509,0.0004712562,0.9848368,0.009128934],"study_design_scores_gemma":[0.0003753687,0.0000467737,0.03451782,0.0003762111,0.000151032,0.0006938563,0.0001003532,0.001143815,0.0007114974,0.001633869,0.9601728,0.00007663827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005633818,0.0001996348,0.0002328276,0.00003159115,0.00002015113,0.00001185763,0.9979195,0.0004224099,0.0005986659],"genre_scores_gemma":[0.0009553651,0.00008236445,0.0004587559,0.0000230517,0.000005862688,0.00005614807,0.9980254,0.00004083414,0.0003522943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03639209,"threshold_uncertainty_score":0.09949589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381369404764356,"score_gpt":0.284587955912848,"score_spread":0.2507742618652044,"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."}}