{"id":"W6889015492","doi":"10.25318/2110011201-fra","title":"Architectural services, summary statistics, by North American Industry Classification System (NAICS), inactive","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Doors","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":[0.001146895,0.001537889,0.001364811,0.01010231,0.0007976107,0.00254964,0.001850924,0.0007974508,0.04818575],"category_scores_gemma":[0.009883709,0.0006315368,0.001265534,0.02979673,0.0003659453,0.001485215,0.0009927592,0.001480391,0.05349676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004625483,"about_ca_system_score_gemma":0.01155902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4655981,"about_ca_topic_score_gemma":0.4575787,"domain_scores_codex":[0.9980069,0.0001700608,0.0003883841,0.0004143522,0.0006836209,0.000336682],"domain_scores_gemma":[0.9929845,0.000909391,0.0007608064,0.0007126651,0.004239619,0.0003930435],"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":[0.0000340722,0.00001075695,0.003579123,0.0004466088,0.00003083373,0.000009115182,0.00001526281,0.0001744609,0.00003000548,0.0004032268,0.9918989,0.003367564],"study_design_scores_gemma":[0.0001065587,0.0000161419,0.04862155,0.000555511,0.00004967623,0.00003986811,0.000217458,0.0004174699,0.0001439652,0.0006601425,0.9491374,0.00003413829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001242378,0.00008140025,0.00002509145,0.00003692579,0.00001611573,0.000007350026,0.9989504,0.00005145427,0.0007070272],"genre_scores_gemma":[0.0007271412,0.0002063786,0.0001117694,0.00003375299,0.00001292589,0.00005875252,0.997701,0.00003015303,0.001118104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4655981,"threshold_uncertainty_score":0.925776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007318317482919278,"score_gpt":0.2473344608181502,"score_spread":0.2400161433352309,"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."}}