{"id":"W6957755655","doi":"10.6068/dp14ba855f48320","title":"Trend 1981 - 1997. Statistics Canada. CANSIM: Manufacturing - General | Country: Canada | Table: Manufacturing activities, by Standard Industrial Classification (1980 SIC) | Variable: Employees, Clay products industry (from imported clay) | Units: $CAD # Persons, 1981-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-149.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Statistical analysis; Manufacturing; Summary statistics; Business statistics; Publication","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":[0.001736711,0.002236288,0.002663716,0.009680671,0.003500678,0.005281819,0.004681729,0.001439604,0.1106153],"category_scores_gemma":[0.01551861,0.001731525,0.00176402,0.04576766,0.0006660545,0.002792019,0.00229837,0.002924344,0.07919634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05452433,"about_ca_system_score_gemma":0.1415201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948241,"about_ca_topic_score_gemma":0.9928141,"domain_scores_codex":[0.9956765,0.0002194951,0.0004009867,0.0005637574,0.002025123,0.001114171],"domain_scores_gemma":[0.9662212,0.001075296,0.00103689,0.0009563435,0.02911016,0.001600079],"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":[0.00001755751,0.000005087102,0.0007772367,0.000184714,0.00001359681,0.000006240105,0.00001984687,0.00008900654,0.00000847167,0.0003666095,0.997043,0.00146877],"study_design_scores_gemma":[0.00009075243,0.000008838562,0.01778413,0.0005370216,0.00004124243,0.00002164881,0.0004190831,0.0003141551,0.0001528085,0.0004461339,0.9801222,0.00006190011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005202047,0.00004688622,0.00002464548,0.0001100416,0.00002817511,0.00001309958,0.9983965,0.00006567303,0.001263028],"genre_scores_gemma":[0.0008931081,0.0003029533,0.0003257087,0.0001375414,0.00001935735,0.0001055234,0.9914647,0.0001353268,0.006615745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1106153,"threshold_uncertainty_score":0.3956036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680447737179514,"score_gpt":0.2548043732375432,"score_spread":0.2079998958657481,"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."}}