{"id":"W6958016342","doi":"10.6068/dp14ba7d065fd9","title":"Trend 1985 - 2010. Statistics Canada. CANSIM: Health - Health Care Services | Country: Canada | Table: Salary and wage expenditures in residential care facilities, by principal characteristic of the predominant group of residents and size of facility | Variable: Facilities for persons with mental disorders, 1 to 19 beds | Units: $CAD, 1985-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-112.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Health care; Census; Wage; Health statistics; Official statistics; Socioeconomic status; Principal (computer security); Economic 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":[0.002220817,0.002410936,0.002892233,0.009183805,0.00305592,0.004457637,0.005446508,0.001537395,0.07587804],"category_scores_gemma":[0.01826368,0.001837499,0.00248109,0.04205146,0.000606697,0.002267617,0.002248494,0.003218786,0.039091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05681247,"about_ca_system_score_gemma":0.1372854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955568,"about_ca_topic_score_gemma":0.9942095,"domain_scores_codex":[0.9954543,0.0002852515,0.0005624464,0.0005527856,0.002099192,0.001045979],"domain_scores_gemma":[0.9685822,0.001107545,0.001181725,0.0008127948,0.0266914,0.001624377],"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":[0.0000278632,0.000007749923,0.001423528,0.0003447706,0.00003032875,0.000006908916,0.00002304154,0.000129595,0.000008022804,0.0003403373,0.9960305,0.001627335],"study_design_scores_gemma":[0.0002556939,0.00002202296,0.04724095,0.001394771,0.0001313426,0.00004026769,0.0006559349,0.0007452717,0.0001979571,0.0007392753,0.9484599,0.0001167325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006305109,0.00005870225,0.00001841448,0.0001228111,0.00002362714,0.00001369098,0.9989973,0.00004076145,0.0006617079],"genre_scores_gemma":[0.001208871,0.0003524186,0.0003354196,0.0001838683,0.00002286113,0.0001271032,0.9938914,0.00008555646,0.003792633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07587804,"threshold_uncertainty_score":0.4122053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465354960254623,"score_gpt":0.2465036208128146,"score_spread":0.2318500712102684,"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."}}