{"id":"W6894410264","doi":"10.5683/sp3/ihpxuh","title":"Input-Output: Structure of the Canadian Economy","year":2006,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Commodity; Valuation (finance); National accounts; Presentation (obstetrics); National economy; Section (typography)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872307,0.001548917,0.0008887821,0.009006263,0.001546953,0.003991027,0.002153912,0.0005744715,0.02866629],"category_scores_gemma":[0.007264865,0.0006908551,0.001111587,0.02921208,0.0005454594,0.001194231,0.001205486,0.001537743,0.008904576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04006381,"about_ca_system_score_gemma":0.06205105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9901618,"about_ca_topic_score_gemma":0.9910462,"domain_scores_codex":[0.9981908,0.000105633,0.0001032246,0.0002676075,0.0008757011,0.0004571434],"domain_scores_gemma":[0.9944712,0.0003011167,0.0003121235,0.0003919489,0.004214622,0.0003090195],"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":[0.0001461391,0.00002860659,0.02290486,0.000654011,0.0001504232,0.00007621109,0.0001866952,0.008556832,0.0001851922,0.01206715,0.9377409,0.01730286],"study_design_scores_gemma":[0.00009993007,0.00001314794,0.102684,0.0003186071,0.00008523329,0.00008204806,0.0004943644,0.006747893,0.0007281565,0.00311235,0.8855106,0.000123717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00266382,0.0002825374,0.0002333568,0.000244053,0.00002640279,0.00002714293,0.9910253,0.0002413163,0.005256092],"genre_scores_gemma":[0.01583963,0.0007175442,0.00102503,0.00006456402,0.00001488226,0.00007747408,0.9760674,0.000141186,0.006052358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04006381,"threshold_uncertainty_score":0.2906846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047721665348651,"score_gpt":0.2234201711192963,"score_spread":0.2129429544658098,"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."}}