{"id":"W2076104357","doi":"10.1503/cmaj.080165","title":"Economist challenges recruiting hyperbole","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperbole; Global health; Public relations; Political science; Medicine; Health care; Law; Metaphor; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002714525,0.0001232326,0.0002884879,0.0001283875,0.002324685,0.00001169454,0.0002632494,0.0006614018,0.01373875],"category_scores_gemma":[0.003180816,0.0001202425,0.00007371349,0.0001288879,0.00004084133,0.000137328,0.00002371962,0.002048751,0.002432869],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003177716,"about_ca_system_score_gemma":0.007155424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008315602,"about_ca_topic_score_gemma":0.08929305,"domain_scores_codex":[0.9965296,0.0006389949,0.0007630333,0.0001727096,0.0007975707,0.001098136],"domain_scores_gemma":[0.9955837,0.0006396467,0.0004133261,0.0001243538,0.0004353772,0.002803592],"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":[0.000009690419,0.00002109581,0.2608342,0.00004897528,0.00005999367,0.0006423775,0.006166914,0.000003761555,7.59796e-7,0.002638538,0.6599292,0.06964451],"study_design_scores_gemma":[0.0005732577,0.00002337428,0.03663441,0.0002297168,0.000004728116,0.0001976665,0.004803111,0.00005864853,5.287187e-7,0.0002559265,0.9571027,0.0001159943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4541313,0.003531371,0.00001334433,0.2051257,0.004474539,0.0003714804,0.00002485672,0.00009753928,0.3322299],"genre_scores_gemma":[0.9007984,0.01114515,0.0003464806,0.06030884,0.01126795,0.00004605563,0.00001317924,0.00005216898,0.01602173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4466671,"threshold_uncertainty_score":0.9989741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354664429113049,"score_gpt":0.3751467102809802,"score_spread":0.3016000659898497,"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."}}