{"id":"W6945670994","doi":"10.25549/wpacards-m1784","title":"WPA household census for 1251 WILKINS","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Population statistics; Demographic analysis; Quarter (Canadian coin)","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":[0.000553991,0.001545273,0.001324732,0.006536035,0.0005708163,0.001758418,0.0012715,0.0006866015,0.1595455],"category_scores_gemma":[0.004296144,0.0007498058,0.0006615814,0.01505537,0.0002227699,0.0009575229,0.001203801,0.001116191,0.1539749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214609,"about_ca_system_score_gemma":0.002705391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07714051,"about_ca_topic_score_gemma":0.08401918,"domain_scores_codex":[0.9993624,0.00007259201,0.00009226402,0.0001708932,0.000178043,0.0001239134],"domain_scores_gemma":[0.9982382,0.0003642687,0.0002842365,0.0002816864,0.0006153513,0.0002162325],"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":[0.00002576104,0.00001171411,0.001271813,0.0001430993,0.00001262506,0.00001342433,0.00002142515,0.000119969,0.00002384366,0.0002774895,0.994783,0.003295754],"study_design_scores_gemma":[0.00007834637,0.000008336121,0.01476983,0.0002102601,0.00002028101,0.0000382314,0.0001451231,0.0002360838,0.0001256384,0.0006008698,0.9837481,0.00001903946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001598242,0.00003881034,0.00004076981,0.00003193078,0.000009295872,0.000006945839,0.9981766,0.00009325755,0.001442501],"genre_scores_gemma":[0.0008638199,0.0001650378,0.0001568378,0.0000434492,0.00001091393,0.00009500302,0.992439,0.00008762979,0.006138236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1595455,"threshold_uncertainty_score":0.533733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109668025716672,"score_gpt":0.1667068244462589,"score_spread":0.1557400218745917,"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."}}