{"id":"W6963910744","doi":"10.25318/1310016201-eng","title":"Home health care and related services, summary statistics","year":2025,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Revenue; Profit margin; Health statistics; Home health; Margin (machine learning); Descriptive statistics","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":[0.001870701,0.00140879,0.00141715,0.004762047,0.0007108184,0.00223858,0.002196736,0.001277867,0.09627832],"category_scores_gemma":[0.02057693,0.000880524,0.001449231,0.01620798,0.0003242346,0.001674374,0.001157027,0.001970424,0.05037733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00480062,"about_ca_system_score_gemma":0.009733562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3173977,"about_ca_topic_score_gemma":0.3113451,"domain_scores_codex":[0.9970399,0.0003436215,0.0007454905,0.0006518576,0.0008219751,0.0003971065],"domain_scores_gemma":[0.9910027,0.00194822,0.001279727,0.0007746476,0.004487601,0.0005070733],"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":[0.00004003026,0.00001485545,0.001800628,0.0007186783,0.00004052917,0.000008669617,0.00001073213,0.000210394,0.00001176747,0.0003816362,0.9946278,0.002134222],"study_design_scores_gemma":[0.0006551746,0.00004591899,0.0489434,0.001633672,0.0001429244,0.00007426312,0.0002030343,0.0005921719,0.0001135912,0.002003856,0.9455273,0.00006484119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005455975,0.00005095728,0.00002675975,0.00003531836,0.00001301506,0.00002031004,0.9993199,0.00002418907,0.0004549615],"genre_scores_gemma":[0.0007109425,0.0001857044,0.0001976992,0.00009144838,0.00002161194,0.0002536115,0.9971594,0.00002581691,0.001353899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3173977,"threshold_uncertainty_score":0.6311005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00313016868112082,"score_gpt":0.263103382404249,"score_spread":0.2599732137231282,"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."}}