{"id":"W7115591960","doi":"10.5683/sp3/fxpsar","title":"Supply and Use Tables, 2010-2021, Level L61 [Canada]","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); National accounts; Investment (military); Product (mathematics); Presentation (obstetrics); Value (mathematics); Input–output model; Presentational and representational acting; Table (database)","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":[0.00100186,0.001737664,0.001378297,0.008571737,0.002054301,0.00462576,0.002832484,0.001064326,0.08949623],"category_scores_gemma":[0.008695965,0.0008859691,0.001255688,0.02816241,0.0005018663,0.002025858,0.001659765,0.002090313,0.04795325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02295925,"about_ca_system_score_gemma":0.05440145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745657,"about_ca_topic_score_gemma":0.9787643,"domain_scores_codex":[0.9978613,0.00007908779,0.000212425,0.0003489344,0.0009392029,0.0005591199],"domain_scores_gemma":[0.9899318,0.0003741165,0.0004970841,0.0004272485,0.008136269,0.0006335324],"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":[0.00002209758,0.000005784547,0.001439145,0.0002735618,0.00001589729,0.00001049484,0.00002033301,0.0001694601,0.0000181483,0.0006593938,0.9952729,0.00209284],"study_design_scores_gemma":[0.00007894367,0.000007471545,0.03750404,0.00046976,0.00003046453,0.00003092626,0.0002306838,0.0005675459,0.0001856021,0.0006474063,0.9601945,0.00005267018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000841343,0.00005180127,0.00001892882,0.00006042331,0.00001477464,0.000006732538,0.9985282,0.00005583001,0.001179164],"genre_scores_gemma":[0.0008513507,0.000147082,0.0001565963,0.00006806688,0.00001019814,0.00004383326,0.9952237,0.00005900891,0.00344017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08949623,"threshold_uncertainty_score":0.2993947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839720503209047,"score_gpt":0.2497803651948693,"score_spread":0.2213831601627788,"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."}}