{"id":"W2105282360","doi":"10.1136/bmj.39094.508218.59","title":"What goes around, comes around","year":2007,"lang":"en","type":"article","venue":"BMJ","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web","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":[0.002865546,0.0007149589,0.0005484711,0.0008545007,0.01117276,0.01134695,0.001021433,0.002916142,0.1243531],"category_scores_gemma":[0.01372746,0.000368555,0.0007663195,0.0006255956,0.006378724,0.008831789,0.007084081,0.007500642,0.07910294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003081799,"about_ca_system_score_gemma":0.008111451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496483,"about_ca_topic_score_gemma":0.03115109,"domain_scores_codex":[0.9952199,0.001359923,0.0001400977,0.0005132444,0.001521509,0.001245251],"domain_scores_gemma":[0.9938745,0.0003829926,0.0002594582,0.0004598943,0.001451082,0.003571957],"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":[0.00002456519,0.00007184464,0.0014818,0.0001627056,0.00001505341,0.0003219803,0.00946113,0.00001236092,0.0002465538,0.02306284,0.8899018,0.07523736],"study_design_scores_gemma":[0.00000282208,0.00001885476,0.0006056514,0.0002460512,0.000005116242,0.0001922373,0.01012083,0.000003421544,0.00004747573,0.002113562,0.9866338,0.00001023613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.004191074,0.006836157,0.001472348,0.2346805,0.05385698,0.00009596319,0.0004125485,0.0006420028,0.6978123],"genre_scores_gemma":[0.05445925,0.006701019,0.002033114,0.1792493,0.007149461,0.0001527639,0.0004886767,0.001123465,0.7486429],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1243531,"threshold_uncertainty_score":0.4160026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.078922869451144,"score_gpt":0.4903470465036325,"score_spread":0.4114241770524885,"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."}}