{"id":"W6885954652","doi":"10.1371/journal.pone.0299005.s005","title":"Analytical code.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Logistic regression; Context (archaeology); Health care; Odds ratio; Medical record; Digital health; Primary care; Patient experience","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":[0.006108706,0.001189335,0.001495753,0.006411705,0.002051403,0.005429706,0.003245399,0.001692721,0.7692596],"category_scores_gemma":[0.03911756,0.001021674,0.001391071,0.0101184,0.0009761326,0.003367994,0.003874233,0.002118395,0.4960283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003595632,"about_ca_system_score_gemma":0.01343215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.026659,"about_ca_topic_score_gemma":0.02204224,"domain_scores_codex":[0.9952494,0.0009890173,0.0006107365,0.000946898,0.001568339,0.0006355938],"domain_scores_gemma":[0.9760982,0.006378853,0.00124574,0.00375452,0.01084141,0.001681352],"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":[0.0001384125,0.00003975103,0.001199739,0.0007790137,0.00001515641,0.00003970473,0.0003128582,0.0001354522,0.0001263083,0.005307465,0.9439724,0.04793382],"study_design_scores_gemma":[0.00006664474,0.00002643276,0.003487777,0.000582359,0.00001308114,0.00005245679,0.0004227846,0.0003695326,0.000155765,0.003777593,0.9910231,0.00002242515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001688351,0.0004309562,0.01117251,0.003800062,0.00220833,0.002908676,0.7089926,0.01183763,0.2569609],"genre_scores_gemma":[0.01938615,0.001642138,0.05289428,0.004442991,0.0009750309,0.01539521,0.460089,0.01529007,0.4298851],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2307404,"threshold_uncertainty_score":0.3291232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11207662495382,"score_gpt":0.4216415823797902,"score_spread":0.3095649574259702,"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."}}