{"id":"W6944767871","doi":"10.25318/3610031001-eng","title":"Multifactor productivity, gross output, value-added, capital, labour and intermediate inputs by business sector industries, according to the Standard Industrial Classification, 1980 (SIC)","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multifactor productivity; Productivity; Plucking; Agriculture; Production (economics); Gross output; Table (database); Agricultural productivity","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":[0.0007885495,0.001644713,0.001407197,0.00776642,0.0012587,0.002918772,0.002380575,0.0008940277,0.04779371],"category_scores_gemma":[0.006466935,0.0007226318,0.0009961658,0.02476578,0.0004274668,0.001247457,0.00113911,0.001969048,0.0441745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0108097,"about_ca_system_score_gemma":0.0193271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8627332,"about_ca_topic_score_gemma":0.8694564,"domain_scores_codex":[0.9985299,0.00007638911,0.0001616563,0.0002803984,0.0005902469,0.0003613917],"domain_scores_gemma":[0.9944332,0.0004874972,0.0004718995,0.0004054817,0.003833205,0.0003686693],"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":[0.0000242866,0.00001298121,0.00280786,0.0002458667,0.0000199741,0.00001211165,0.00002378326,0.0002389813,0.00002334741,0.0005242041,0.9942086,0.001858121],"study_design_scores_gemma":[0.0001132519,0.000009506662,0.03458386,0.0003140644,0.00003188915,0.00003443365,0.0002309881,0.0004613622,0.0002198729,0.0005065307,0.9634549,0.0000393891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001388014,0.00003258972,0.00001890692,0.00002940832,0.0000086065,0.000006132561,0.9991666,0.00003525554,0.000563728],"genre_scores_gemma":[0.0006275211,0.00008322347,0.0001115626,0.000017671,0.00000541445,0.00003423618,0.9973361,0.00002192547,0.001762333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1372668,"threshold_uncertainty_score":0.2761502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806308451803566,"score_gpt":0.274940534613111,"score_spread":0.2468774500950753,"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."}}