{"id":"W6939209684","doi":"10.6068/dp14ba8cd79d484","title":"Trend 1981 - 1997. Statistics Canada. CANSIM: Manufacturing - General | Country: Canada | Table: Manufacturing activities, by Standard Industrial Classification (1980 SIC) | Variable: Manufacturing shipments, Other non-metallic mineral products industries, not elsewhere classified | Units: $CAD x 1,000, 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; International Standard Industrial Classification; International comparisons","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":[0.001654999,0.002217436,0.002619589,0.009685109,0.003733463,0.005206072,0.004749178,0.001425612,0.1068675],"category_scores_gemma":[0.01474585,0.001668034,0.001793539,0.04404102,0.0006600045,0.002722008,0.002248063,0.002917296,0.07124811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05877719,"about_ca_system_score_gemma":0.1453655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995814,"about_ca_topic_score_gemma":0.9944211,"domain_scores_codex":[0.9959007,0.0001971584,0.0003642123,0.0005278429,0.001926069,0.001083997],"domain_scores_gemma":[0.9677257,0.0009896065,0.0009783302,0.0008669144,0.02791666,0.001522798],"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":[0.00001891539,0.000005551141,0.0009024417,0.000187446,0.00001465962,0.000006709025,0.00002102149,0.00009692304,0.000008932983,0.0004019098,0.9968019,0.001533536],"study_design_scores_gemma":[0.00009737484,0.000009478406,0.01995213,0.0005484156,0.00004573287,0.00002379451,0.0004663676,0.0003471009,0.0001704324,0.0004651374,0.977806,0.00006799079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000609935,0.00004973034,0.00002441494,0.0001138149,0.00002815907,0.0000133306,0.9983365,0.00006159576,0.001311453],"genre_scores_gemma":[0.001033513,0.0003226,0.0003353119,0.0001355767,0.00001876627,0.0001046755,0.9907829,0.0001305095,0.00713616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1068675,"threshold_uncertainty_score":0.4264604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219182714271653,"score_gpt":0.2504457794645193,"score_spread":0.1982539523218028,"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."}}