{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007934413,0.002409641,0.009050751,0.0557737,0.002754404,0.007756274,0.00645471,0.003535274,0.4410349],"category_scores_gemma":[0.04296198,0.00161785,0.004167334,0.07651353,0.001391078,0.004620597,0.005904373,0.002445568,0.08340976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01821545,"about_ca_system_score_gemma":0.06317727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1166543,"about_ca_topic_score_gemma":0.1383619,"domain_scores_codex":[0.9880236,0.001693347,0.006121838,0.001206879,0.002187453,0.000766939],"domain_scores_gemma":[0.9555101,0.01915106,0.005684223,0.001568012,0.01662117,0.001465372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003877546,0.00004488098,0.000872109,0.4887067,0.0004868983,0.0003197992,0.0007706911,0.0002168453,0.0002778514,0.003584021,0.4127497,0.0915828],"study_design_scores_gemma":[0.0005878018,0.00009280492,0.004440461,0.2760366,0.00105675,0.0003064317,0.001054478,0.0001767635,0.0002029745,0.002361783,0.7135601,0.0001231341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000933265,0.04128977,0.001353184,0.003471544,0.000469298,0.01540209,0.8656438,0.001536495,0.06990055],"genre_scores_gemma":[0.01097798,0.2799857,0.02372362,0.008771903,0.0007411362,0.1076241,0.4891919,0.001822097,0.07716144],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5589651,"threshold_uncertainty_score":0.7972958,"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."}}