{"id":"W4243049106","doi":"10.4095/301051","title":"Labour Force Occupation, 2006 - Health Occupations (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Geography; Demographic economics; Demography; Sociology; Economics; Population; Archaeology","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":[0.0005329961,0.001015567,0.000382187,0.00322711,0.0006081116,0.0007410213,0.0008921772,0.0003967274,0.01043333],"category_scores_gemma":[0.001621547,0.0003758612,0.0005079901,0.005036591,0.0001239384,0.0007304286,0.0008025917,0.0007720282,0.009863543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896348,"about_ca_system_score_gemma":0.002637303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3498484,"about_ca_topic_score_gemma":0.4737813,"domain_scores_codex":[0.9993723,0.0000371153,0.00007988903,0.00007773282,0.0003153585,0.0001175764],"domain_scores_gemma":[0.9987836,0.0000423517,0.000166983,0.00003565533,0.0008604027,0.0001110595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002359798,0.0002241969,0.1457249,0.001170493,0.00009420366,0.0001086591,0.0006604225,0.0008176485,0.0006115979,0.0005075008,0.815038,0.03480642],"study_design_scores_gemma":[0.00004663242,0.00007864505,0.8577393,0.0002427802,0.00002604789,0.0001142657,0.0007470585,0.0003513011,0.0002481179,0.00008813728,0.1403031,0.00001469323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02416439,0.000719002,0.0001936561,0.0002365559,0.0001885373,0.0002337893,0.9559713,0.0001194059,0.01817344],"genre_scores_gemma":[0.0547994,0.002196626,0.00118446,0.000281552,0.00009005175,0.0005968697,0.8915367,0.00005379974,0.04926047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6501516,"threshold_uncertainty_score":0.6956242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08836372945133568,"score_gpt":0.4731117768065292,"score_spread":0.3847480473551935,"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."}}