{"id":"W7154037998","doi":"10.1145/3772318.3808920","title":"10.1145/3772318.3808920","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Health care; Telemedicine; Key (lock); Session key","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001847041,0.002766868,0.002101998,0.00267544,0.002384784,0.00470869,0.002763425,0.004659666,0.9596388],"category_scores_gemma":[0.003505109,0.001587094,0.001326642,0.00691141,0.001361469,0.008707573,0.006108243,0.002209675,0.974981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186914,"about_ca_system_score_gemma":0.001184015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01710511,"about_ca_topic_score_gemma":0.01624974,"domain_scores_codex":[0.9992982,0.00004927861,0.0000597008,0.0001942792,0.0002482964,0.0001503243],"domain_scores_gemma":[0.9981694,0.0004068898,0.00006822676,0.0005035082,0.0004570124,0.0003949139],"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":[0.0001706878,0.0001451153,0.0003556077,0.0003737198,0.0000243185,0.0001515217,0.00006664542,0.0003292581,0.0008463167,0.003644322,0.736429,0.2574635],"study_design_scores_gemma":[0.00002581771,0.00002245755,0.0006804187,0.0001840337,0.00002226847,0.00009426982,0.00006384213,0.0004956642,0.0003356884,0.0008289062,0.9972198,0.00002682775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001044966,0.002430186,0.006371549,0.0008982544,0.00180305,0.0002909965,0.008014607,0.01088556,0.9682608],"genre_scores_gemma":[0.00161188,0.001053908,0.00103772,0.000385389,0.00009727884,0.000117915,0.003916681,0.001235285,0.9905439],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04036117,"threshold_uncertainty_score":0.05757022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239255952198383,"score_gpt":0.3514461834568296,"score_spread":0.3275205882369913,"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."}}