{"id":"W6963972108","doi":"10.25318/2110011201-eng","title":"Architectural services, summary statistics, by North American Industry Classification System (NAICS), inactive","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Architectural design; Architecture; Profit (economics)","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":[0.0009484278,0.00139578,0.001093988,0.006660105,0.0007517372,0.0029463,0.001661508,0.0009006638,0.07833739],"category_scores_gemma":[0.008633249,0.000658619,0.000796547,0.01868236,0.000308659,0.001567989,0.0009959068,0.001516006,0.105141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003667703,"about_ca_system_score_gemma":0.007556919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2427093,"about_ca_topic_score_gemma":0.2398467,"domain_scores_codex":[0.9984029,0.0001272154,0.000257108,0.0003679753,0.0005626665,0.0002820636],"domain_scores_gemma":[0.9939871,0.0008301575,0.0006612088,0.0006645271,0.003430249,0.0004267862],"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":[0.0000142126,0.000007297518,0.001272988,0.0001306732,0.000008624694,0.000005859243,0.000007058752,0.00009001076,0.00001449769,0.0002840574,0.9968104,0.001354344],"study_design_scores_gemma":[0.00008022648,0.00001030461,0.01705357,0.0002493157,0.0000192371,0.00002771327,0.000105653,0.0003251845,0.0001102144,0.0005901674,0.9814063,0.00002208394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008381333,0.00002898774,0.00002010912,0.00003316356,0.00001570459,0.000005401081,0.9989864,0.00005727807,0.0007690982],"genre_scores_gemma":[0.0004199228,0.00007323249,0.00007566379,0.00003030596,0.00001119983,0.00003940479,0.9979758,0.00003137112,0.001343201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7572907,"threshold_uncertainty_score":0.4825932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006718068991368993,"score_gpt":0.2116992143673979,"score_spread":0.2049811453760289,"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."}}