{"id":"W6945403298","doi":"10.25318/3310004601-eng","title":"Statement of income and capital expenditures for companies having $10 million or more of total assets, by industry based on the Standard Industrial Classification, 1960 (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":"Renting; Table (database); Statement (logic); Income statement; Capital (architecture); Capital good","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":[0.0007214466,0.001384891,0.00118922,0.007040873,0.001157418,0.002295533,0.002146305,0.0008775711,0.04494775],"category_scores_gemma":[0.006176808,0.0007498272,0.0006901931,0.01983177,0.00036139,0.0009488997,0.0009646427,0.001895884,0.05126566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009327344,"about_ca_system_score_gemma":0.01823923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8519062,"about_ca_topic_score_gemma":0.8686824,"domain_scores_codex":[0.9984807,0.00007398582,0.0001543954,0.0002744367,0.0006714297,0.000344998],"domain_scores_gemma":[0.9925144,0.0005193952,0.000728771,0.0005547382,0.005114015,0.000568753],"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":[0.0000219591,0.00001141797,0.002461391,0.0001098508,0.00001151714,0.000010792,0.00001392418,0.0001588781,0.00001892845,0.0004093992,0.9952536,0.001518468],"study_design_scores_gemma":[0.0001017743,0.00001280766,0.04144316,0.0002461007,0.00002631229,0.00004211438,0.0002015896,0.0005859912,0.0002888869,0.0004119591,0.9566027,0.00003649116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001828841,0.00002547745,0.00002292178,0.00003504199,0.000009561253,0.0000071742,0.9989402,0.00004317442,0.000733632],"genre_scores_gemma":[0.0007683118,0.0000674147,0.0001057287,0.00002280726,0.000005635323,0.00003214653,0.9967384,0.00001977814,0.002239847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8519062,"threshold_uncertainty_score":0.2979319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094495859291836,"score_gpt":0.3129607057716386,"score_spread":0.2820157471787203,"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."}}