{"id":"W7115602929","doi":"10.5683/sp3/jyih2p","title":"Provincial Symmetric Input-Output Tables, Level L97, 2014-2021 [Canada]","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Commodity; Supply and demand; Division (mathematics); National accounts","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":[0.0008705698,0.001086442,0.000945925,0.005205033,0.001747748,0.003295904,0.002121295,0.0006006288,0.1450501],"category_scores_gemma":[0.007605739,0.0008551763,0.001014748,0.0197232,0.0003502056,0.001178079,0.00112429,0.001359209,0.04502074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02531722,"about_ca_system_score_gemma":0.0820896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846608,"about_ca_topic_score_gemma":0.9838378,"domain_scores_codex":[0.9980643,0.00008109098,0.0001438667,0.0002639629,0.0009771952,0.0004695942],"domain_scores_gemma":[0.991574,0.0002926457,0.0003394552,0.0003402671,0.006977268,0.000476296],"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":[0.00003431964,0.000008664854,0.002184002,0.0002324653,0.00001954496,0.0000158952,0.00002592125,0.0005680703,0.00003294673,0.001510474,0.9908669,0.004500816],"study_design_scores_gemma":[0.00008909019,0.00001002125,0.03728665,0.0002643505,0.00002821844,0.00002908522,0.0002297726,0.00108601,0.0003211742,0.001002734,0.9596089,0.0000439716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002836336,0.00006846779,0.00009437946,0.0001211522,0.00002966286,0.00002530879,0.992739,0.00016019,0.006478062],"genre_scores_gemma":[0.005291142,0.0003206278,0.001055423,0.0001439085,0.00001919759,0.0001487251,0.9645827,0.0002794297,0.02815891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1450501,"threshold_uncertainty_score":0.4852409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201903623260877,"score_gpt":0.2510868688091885,"score_spread":0.2290678325765797,"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."}}