{"id":"W7110832255","doi":"10.1371/journal.pone.0327464.s003","title":"Narrative dataset.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Thematic analysis; Variety (cybernetics); Narrative; Exploratory research; Healthcare system; Qualitative research","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":[],"category_scores_codex":[0.004363702,0.0007064193,0.0008794311,0.004489237,0.002064656,0.003914513,0.00206226,0.001782816,0.5976802],"category_scores_gemma":[0.03049546,0.0007416462,0.0008780299,0.008424111,0.0003996418,0.002954086,0.003644548,0.001794355,0.1558041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003258436,"about_ca_system_score_gemma":0.01151657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04525793,"about_ca_topic_score_gemma":0.06160501,"domain_scores_codex":[0.9977924,0.0007448361,0.0004628128,0.000327905,0.0004162434,0.0002559402],"domain_scores_gemma":[0.985894,0.007479591,0.0006176468,0.001038513,0.004301407,0.0006689286],"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":[0.0001191401,0.00002249294,0.0006450671,0.002930992,0.0000125134,0.00009454414,0.001947064,0.0001219713,0.00003139303,0.004019001,0.9644841,0.02557182],"study_design_scores_gemma":[0.00008480931,0.00001586569,0.001584926,0.002355749,0.00001981776,0.00006201854,0.0038053,0.0001198238,0.00005840538,0.003286894,0.9885832,0.00002322351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009520114,0.0003667616,0.0008378283,0.001817982,0.000270994,0.0009992748,0.9499334,0.000349592,0.04447222],"genre_scores_gemma":[0.01787384,0.002551663,0.01237718,0.004097368,0.0002245242,0.02543858,0.7995526,0.001306974,0.1365772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5976802,"threshold_uncertainty_score":0.5738603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142841344132895,"score_gpt":0.4808898782360586,"score_spread":0.3380485341031636,"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."}}