{"id":"W6912796475","doi":"10.5683/sp3/iarhpy","title":"Replication data for: 1986 Census of Canada: Basic summary tabulations","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Replication (statistics); Statistical analysis; Population; Comparability","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":[0.00198011,0.002279011,0.001754935,0.006761446,0.002310235,0.00259647,0.003812344,0.001215198,0.06409218],"category_scores_gemma":[0.01290281,0.001048454,0.001566345,0.02101286,0.0007674361,0.0009292742,0.001489131,0.00178746,0.03369921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01384326,"about_ca_system_score_gemma":0.04496427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9546531,"about_ca_topic_score_gemma":0.9645988,"domain_scores_codex":[0.9975743,0.0001611133,0.0002260947,0.0004466278,0.001060204,0.0005317255],"domain_scores_gemma":[0.9881058,0.0007047554,0.0006674565,0.001515308,0.00832755,0.0006792351],"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":[0.0000760023,0.0000203561,0.00259969,0.0001828919,0.00003789965,0.00001436625,0.00002577812,0.0004340232,0.00003742929,0.0003561159,0.9939815,0.002233776],"study_design_scores_gemma":[0.0002834157,0.00001233913,0.04544305,0.0002429053,0.00007701905,0.00003392572,0.0002025108,0.0005550144,0.0003592039,0.0007529889,0.9519732,0.00006446245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000214771,0.00003481481,0.00004821697,0.00003372353,0.00001491418,0.00002259884,0.9988229,0.00008821247,0.0007198667],"genre_scores_gemma":[0.001315298,0.00007830712,0.0002275921,0.0000369952,0.000009408193,0.0001250716,0.9948494,0.00006634807,0.003291572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06409218,"threshold_uncertainty_score":0.2144097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463945726349234,"score_gpt":0.3114490888608326,"score_spread":0.2668096315973403,"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."}}