{"id":"W7115581248","doi":"10.5683/sp3/wrm6us","title":"Provincial Input-Output Tables, Level S: Tax Detail and Public, 2009-2011 [Canada]","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Table (database); Investment (military); Capital good; Capital (architecture); Investment goods; Goods and services; Commodity","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":[0.0008188944,0.001551754,0.001438131,0.006002503,0.001752595,0.003309716,0.002536213,0.0007416345,0.09596225],"category_scores_gemma":[0.008825209,0.00106448,0.001190561,0.0262084,0.000445625,0.001225624,0.001221862,0.001818069,0.03570388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02531222,"about_ca_system_score_gemma":0.05345673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.977556,"about_ca_topic_score_gemma":0.9782265,"domain_scores_codex":[0.9980661,0.00009900326,0.0001656573,0.0003418707,0.0008341603,0.0004931781],"domain_scores_gemma":[0.9911821,0.0004686539,0.0005099542,0.0005550614,0.006760008,0.0005242132],"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":[0.0000297991,0.000009253808,0.002095044,0.0002540578,0.00002676583,0.000009033394,0.00001769432,0.0003842597,0.000016805,0.0006096768,0.9946563,0.00189132],"study_design_scores_gemma":[0.0001330463,0.000009313821,0.04149752,0.0003753458,0.00004459575,0.00003087803,0.0002427372,0.0009416023,0.0002877102,0.0006908377,0.9556912,0.00005511128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001080288,0.00003412064,0.00002255447,0.00004404843,0.00001167548,0.000008558598,0.9985661,0.00005173737,0.001153255],"genre_scores_gemma":[0.001571184,0.000131959,0.0002261059,0.00004414576,0.000007051462,0.00004940537,0.9936626,0.0000590917,0.004248354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09596225,"threshold_uncertainty_score":0.3210257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981235900893099,"score_gpt":0.2404035927548197,"score_spread":0.2105912337458887,"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."}}