{"id":"W7115600756","doi":"10.5683/sp3/8blsh8","title":"Provincial Input-Output Tables, Final Demand Level S: Sales, 1997-2008 [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); Final demand; Investment (military); Table (database); Capital good; Commodity; Capital (architecture); Investment goods","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":[0.0006184985,0.00159716,0.001218691,0.00651435,0.001480088,0.003223904,0.002368246,0.0007278083,0.08481065],"category_scores_gemma":[0.007144006,0.001005815,0.001141937,0.02642267,0.0004419187,0.001130185,0.001023185,0.001677175,0.03929994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01796614,"about_ca_system_score_gemma":0.03939489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9726212,"about_ca_topic_score_gemma":0.973708,"domain_scores_codex":[0.9984069,0.00006470477,0.0001405145,0.0003115735,0.0006831036,0.0003931243],"domain_scores_gemma":[0.9933631,0.0003875319,0.0004042962,0.000408411,0.00505195,0.0003846426],"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":[0.00003295112,0.000009828454,0.00216115,0.0002775068,0.00002501249,0.00001260745,0.00002022232,0.0003955741,0.00002064685,0.0004566153,0.9947428,0.001845079],"study_design_scores_gemma":[0.00016381,0.00001267084,0.04972299,0.0003558317,0.00004478842,0.00003943723,0.0002875687,0.001090942,0.000298558,0.0005675816,0.9473576,0.00005823517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001451945,0.00003476174,0.00001722271,0.00003445145,0.000008509135,0.000006349594,0.9987453,0.00005356471,0.0009544936],"genre_scores_gemma":[0.00132501,0.0001050562,0.0001582363,0.00002786359,0.000005435953,0.00003492298,0.9951509,0.00004621499,0.003146378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08481065,"threshold_uncertainty_score":0.2837199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425227920437482,"score_gpt":0.2584317953324144,"score_spread":0.2241795161280396,"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."}}