{"id":"W3209032845","doi":"10.1093/ajcp/aqab191.261","title":"Comparison of the Institute for Credentialing Excellence Multi-Organization Survey of Certificants","year":2021,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credential; Credentialing; Certification; Excellence; Survey data collection; Survey instrument; Survey methodology; Medical education; Medicine; Business; Marketing; Statistics; Computer science; Management; Political science; Mathematics; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006032035,0.00008078926,0.001061438,0.00003777401,0.0001310044,0.000002239873,0.0003267335,0.0001451495,0.0001327008],"category_scores_gemma":[0.08751963,0.00005460259,0.0001677251,0.0004300111,0.0009623979,0.00007584705,0.0001119996,0.0007552655,0.000003928115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001513421,"about_ca_system_score_gemma":0.001006504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003149316,"about_ca_topic_score_gemma":0.0003421694,"domain_scores_codex":[0.9921638,0.00436662,0.002857863,0.0001638025,0.0002618606,0.0001860053],"domain_scores_gemma":[0.9835865,0.009325149,0.004244778,0.0003267216,0.002391016,0.0001258549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000238482,0.0005835792,0.9883163,0.00009058384,0.00004624442,0.000005996767,0.001231013,0.00005213139,0.001639746,0.00007261485,0.0005615439,0.007161753],"study_design_scores_gemma":[0.001076947,0.0006146846,0.9897214,0.0002240881,0.0001112472,0.000009200206,0.003994026,0.0001593686,0.001367901,0.000079112,0.002579776,0.00006227601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710551,0.0001054443,0.02157854,0.004369637,0.00265693,0.0001717038,0.000028332,0.000003420332,0.00003091442],"genre_scores_gemma":[0.9915313,0.0001220552,0.007532072,0.000521722,0.0002110648,0.000001898838,0.000008731934,0.00001024031,0.0000609594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0814876,"threshold_uncertainty_score":0.9201666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4240840812946096,"score_gpt":0.6086644495966808,"score_spread":0.1845803683020711,"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."}}