{"id":"W7111425668","doi":"10.1371/journal.pone.0323716.s002","title":"Database Searches.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Healthcare Quality and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensure; Context (archaeology); Grey literature; Scholarship; Corporate governance; Workforce; Situated; Operationalization","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001065836,0.0003252514,0.0004514877,0.0003198387,0.001460659,0.00006317241,0.0007160351,0.0005331804,0.7796872],"category_scores_gemma":[0.007813716,0.0003480138,0.0001472348,0.0009985805,0.00001976417,0.0002667441,0.001860152,0.001971181,0.07854809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004973955,"about_ca_system_score_gemma":0.003240153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000470413,"about_ca_topic_score_gemma":0.0004719678,"domain_scores_codex":[0.9944897,0.001992904,0.0009794948,0.0007428426,0.0004681754,0.0013269],"domain_scores_gemma":[0.9957205,0.001754284,0.0002237291,0.001391971,0.0004402981,0.0004692287],"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":[0.00003419717,0.0001285933,0.00003835811,0.02320159,0.00006830056,0.00003743122,0.001159851,0.000001082358,0.000002508139,0.005566872,0.9287452,0.04101601],"study_design_scores_gemma":[0.0006342986,0.00003939105,0.002202881,0.03586794,0.00002728391,2.162778e-7,0.003556226,0.0002416977,0.00003435106,0.0003453207,0.9567959,0.0002545397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005078569,0.003682049,0.00003204175,0.03772127,0.00122861,0.003041819,0.7597859,0.000216435,0.1942411],"genre_scores_gemma":[0.04974701,0.0005493102,0.0003281415,0.08083255,0.001268117,0.002518923,0.6362122,0.00008921461,0.2284545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7011392,"threshold_uncertainty_score":0.9998972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4991768889670888,"score_gpt":0.5495003740492712,"score_spread":0.05032348508218237,"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."}}