{"id":"W6976256223","doi":"10.6068/dp14ba876b71079","title":"Trend 1991 - 2013. Statistics Canada. CANSIM: Construction - Residential Construction | Country: Canada | Table: Capital and repair expenditures, by sector and province | Variable: Arts, entertainment and recreation (x 1,000,000), Capital, construction | Units: $CAD, 1991-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-037.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Census; Economic statistics; Descriptive statistics; Official statistics; Stock (firearms); Summary statistics; Statistical analysis","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":[0.001715814,0.00236256,0.002396613,0.008435841,0.003174182,0.00464799,0.004734857,0.00139012,0.08748078],"category_scores_gemma":[0.01496869,0.001586937,0.001961363,0.03733974,0.000594197,0.002479678,0.002184935,0.002894853,0.04912342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05522735,"about_ca_system_score_gemma":0.127942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952735,"about_ca_topic_score_gemma":0.9944596,"domain_scores_codex":[0.9960175,0.000201155,0.0003749653,0.0004982731,0.001966048,0.0009420372],"domain_scores_gemma":[0.9697317,0.0008852638,0.000918669,0.000797714,0.0262128,0.00145389],"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":[0.00002493342,0.000007965446,0.001527831,0.0002612575,0.00002223906,0.000008584328,0.00002515705,0.0001497733,0.00001039097,0.0004672167,0.9953939,0.002100747],"study_design_scores_gemma":[0.0001256844,0.00001259174,0.02958253,0.0007672023,0.00006477055,0.0000284958,0.0004830708,0.0005415027,0.0001866457,0.0006156578,0.9675115,0.00008038939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008134042,0.00006544106,0.0000295049,0.0001252596,0.00002606561,0.00001417269,0.9984884,0.00005758231,0.001112206],"genre_scores_gemma":[0.001216549,0.000360193,0.0003955071,0.0001401071,0.00001852608,0.0001055603,0.9924022,0.0001105815,0.00525085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08748078,"threshold_uncertainty_score":0.4007043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285967359130571,"score_gpt":0.2218034775728215,"score_spread":0.2089438039815158,"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."}}