{"id":"W4394486235","doi":"10.6084/m9.figshare.4168086","title":"BIO205 2016 Tut0105 Census 2 Data","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Computer science; Demography; Sociology; Population","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":[0.001229292,0.00117648,0.0009504129,0.003579949,0.0007689437,0.001587032,0.00170231,0.0007946918,0.04526449],"category_scores_gemma":[0.008062148,0.0005706749,0.00063257,0.00802716,0.0003184206,0.0006750246,0.001198027,0.00112152,0.05996813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002537777,"about_ca_system_score_gemma":0.006298667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1646489,"about_ca_topic_score_gemma":0.2300095,"domain_scores_codex":[0.9991809,0.0001185618,0.0001199216,0.0001857279,0.0002579285,0.0001369738],"domain_scores_gemma":[0.9961231,0.0004963009,0.0004042328,0.0007832716,0.001717656,0.0004753873],"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":[0.00005060758,0.000008264486,0.00145831,0.0001775429,0.00001450305,0.00001373517,0.00001778378,0.0001755546,0.00006894831,0.0003384288,0.9963559,0.001320428],"study_design_scores_gemma":[0.0001728586,0.00001615511,0.01836583,0.0001836506,0.00002996427,0.00005218316,0.0001188909,0.0002802228,0.0003365534,0.0006716044,0.9797454,0.00002658117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001510928,0.00001936807,0.00002902914,0.00004743161,0.00001788692,0.000006061849,0.9991773,0.00007426521,0.0004775043],"genre_scores_gemma":[0.000520669,0.00002890081,0.00008877353,0.00002477315,0.000008840041,0.00003539414,0.9984525,0.00002760197,0.0008125388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1646489,"threshold_uncertainty_score":0.3273811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3204182791292813,"score_gpt":0.4139674119274743,"score_spread":0.09354913279819299,"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."}}