{"id":"W136306628","doi":"","title":"2012 wage report for non-DVMs.","year":2013,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Demographic economics; Inflation (cosmology); Cost of living; Wages and salaries; Demography; Medicine; Business; Economics; Labour economics; Economic growth; Sociology","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":[0.001331888,0.0008994571,0.0004495553,0.003281509,0.0005110574,0.0009985879,0.001097702,0.0007809343,0.02946002],"category_scores_gemma":[0.005396714,0.0004460123,0.0004160671,0.005908575,0.0000968292,0.0006415151,0.0006179163,0.001250315,0.02119298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159988,"about_ca_system_score_gemma":0.004310857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2242532,"about_ca_topic_score_gemma":0.2409422,"domain_scores_codex":[0.9984675,0.0001272126,0.0001920009,0.0001335565,0.0007822917,0.000297462],"domain_scores_gemma":[0.9952407,0.0002350341,0.0004675981,0.0001397456,0.003572786,0.0003442125],"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":[0.00009587817,0.00004371726,0.004662183,0.0001690819,0.00001428889,0.00002099957,0.00003938824,0.0001447047,0.0000506966,0.000718526,0.9813681,0.01267242],"study_design_scores_gemma":[0.00005384058,0.00005681083,0.1891192,0.0002408565,0.00002450888,0.00007646031,0.0002856029,0.0004360517,0.0003044084,0.0002945454,0.8090705,0.00003721622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008012136,0.002712223,0.001000863,0.005337368,0.002521387,0.0001542576,0.9188721,0.000730092,0.06065969],"genre_scores_gemma":[0.03663815,0.003054889,0.00187356,0.001423412,0.0006677939,0.0005131926,0.807107,0.0002856801,0.1484362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2242532,"threshold_uncertainty_score":0.4458959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301666573948114,"score_gpt":0.2470816823223753,"score_spread":0.1740650165828941,"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."}}