{"id":"W4378189751","doi":"10.3399/bjgp23x733149","title":"Health warning to a young clinician","year":2023,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Privy Council Office","funders":"","keywords":"Medicine; Data science; Medical emergency; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002840992,0.00006136076,0.0002680665,0.0001323778,0.000120179,0.00004508075,0.00007559689,0.00005206163,0.00005837486],"category_scores_gemma":[0.01057029,0.00006611172,0.00009126807,0.0004258304,0.00001815805,0.0002903926,0.00002319027,0.000579298,0.0001112373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009331421,"about_ca_system_score_gemma":0.000729356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005392686,"about_ca_topic_score_gemma":0.00004512807,"domain_scores_codex":[0.9984482,0.0001994486,0.0005453887,0.0001134702,0.0004464631,0.0002470456],"domain_scores_gemma":[0.9983767,0.000220662,0.000396104,0.00008479285,0.0003651,0.0005565889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003297799,0.000331823,0.0008299408,0.00006950925,0.00009171645,0.002568903,0.009851139,0.00006439113,0.0004160966,0.00003480549,0.3895842,0.5958278],"study_design_scores_gemma":[0.003013015,0.002939045,0.1892942,0.002229126,0.0002472629,0.0831954,0.02958983,0.0002401763,0.0001753588,0.0001453935,0.6886861,0.0002450692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806555,0.002012871,0.0004940312,0.1114021,0.002072282,0.0001860722,0.000002938948,0.00003872993,0.003135409],"genre_scores_gemma":[0.9227859,0.006144001,0.01902304,0.04059212,0.004986838,0.000005303626,0.00002029805,0.00003547045,0.006406971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5955827,"threshold_uncertainty_score":0.9977641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140822279278937,"score_gpt":0.4150144583465156,"score_spread":0.3736062355537262,"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."}}