{"id":"W6907734105","doi":"10.25318/1610007901-eng","title":"Principal statistics, estimated value in all manufacturing industries, by Standard Industrial Classification, 1970 (SIC)","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Standard deviation; Principal (computer security); Value (mathematics); Principal component analysis; Natural rubber","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007587367,0.001202816,0.00122885,0.00055852,0.0002779725,0.0004184135,0.001058652,0.001046859,0.00059604],"category_scores_gemma":[0.007630336,0.001478918,0.00003616837,0.0008802969,0.000257916,0.0002510506,0.0002391094,0.002649034,0.0001708243],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007137182,"about_ca_system_score_gemma":0.006895703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3573713,"about_ca_topic_score_gemma":0.7036192,"domain_scores_codex":[0.991645,0.0005470776,0.00210744,0.001462009,0.003039792,0.001198689],"domain_scores_gemma":[0.9939877,0.0013482,0.002348076,0.0009384174,0.0006074072,0.0007702081],"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":[0.0002880705,0.0001161753,0.0001064707,0.0002769004,0.0001734943,0.0004309016,0.000067382,0.0002592503,0.00006594532,0.0005927844,0.9934615,0.004161138],"study_design_scores_gemma":[0.001415669,0.0001548084,0.003884196,0.000453965,0.000423934,0.000008771122,0.0002136987,0.001230621,0.0008972726,0.0002268463,0.9896199,0.001470312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001891482,0.00006573473,0.002787738,0.0002379447,0.001212111,0.001520512,0.9938514,0.0001147242,0.00002065255],"genre_scores_gemma":[0.00135309,0.0001046406,0.002545807,0.0001373085,0.0002798476,0.0001792793,0.9949253,0.0002581542,0.0002165443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3462479,"threshold_uncertainty_score":0.9996519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621717820208249,"score_gpt":0.3063739278045773,"score_spread":0.2601567496024948,"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."}}