{"id":"W6904523502","doi":"10.1371/journal.pone.0302156.s002","title":"Interview guide.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Stakeholder; Qualitative research; Enthusiasm; Process (computing); Web application; Trustworthiness; Key (lock); Extant taxon","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":[0.00920392,0.001255163,0.0009856062,0.002380266,0.004078289,0.002891269,0.002220585,0.001886711,0.3807431],"category_scores_gemma":[0.0143182,0.001179131,0.0004664929,0.003322084,0.001050355,0.002805133,0.003422507,0.004033274,0.1252982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00491836,"about_ca_system_score_gemma":0.01387332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586269,"about_ca_topic_score_gemma":0.04208502,"domain_scores_codex":[0.9958323,0.002340393,0.0003325831,0.0005007074,0.0005718743,0.0004221948],"domain_scores_gemma":[0.9932696,0.00271844,0.0001800521,0.0005069185,0.00268426,0.0006406052],"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":[0.0002045047,0.0002437034,0.0007470684,0.002305563,0.000007113961,0.0003827006,0.03637477,0.0002737147,0.0008388573,0.01196224,0.8098614,0.1367984],"study_design_scores_gemma":[0.00006814819,0.00005606995,0.0009187441,0.0007401138,0.000004536889,0.0001474076,0.02240952,0.0001503148,0.0002280784,0.002895089,0.9723555,0.00002652047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01967206,0.005002525,0.05566484,0.0124356,0.00486417,0.0796055,0.1651821,0.003418134,0.6541551],"genre_scores_gemma":[0.04166624,0.005498921,0.1151702,0.01137036,0.0004080618,0.208901,0.04707096,0.001448086,0.5684661],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3807431,"threshold_uncertainty_score":0.8832948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2583840550082351,"score_gpt":0.5315452661537433,"score_spread":0.2731612111455082,"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."}}