{"id":"W4309749623","doi":"10.2196/43533","title":"The Effect of Offline Medical Resource Distribution on Online Physician-Patient Interaction: Empirical Study With Online and Offline Data","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai International Studies University; National Natural Science Foundation of China","keywords":"Online and offline; Descriptive statistics; Health care; Scarcity; Computer science; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.008130833,0.0004813677,0.000660562,0.002573649,0.001211023,0.002305121,0.001320453,0.000907171,0.006200828],"category_scores_gemma":[0.05225129,0.0004624308,0.0009139738,0.004366788,0.001283174,0.003311135,0.001962386,0.001970967,0.0009278715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712425,"about_ca_system_score_gemma":0.001872713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237236,"about_ca_topic_score_gemma":0.01562797,"domain_scores_codex":[0.9901135,0.005626736,0.000657006,0.001262313,0.001166936,0.001173483],"domain_scores_gemma":[0.8116987,0.138285,0.03256821,0.005332713,0.005186631,0.006928638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001429819,0.000784424,0.9903551,0.0000618667,0.0001129739,0.0002091892,0.002306088,0.0004279147,0.00005488687,0.000201624,0.0003540346,0.00498892],"study_design_scores_gemma":[0.00003535915,0.0002990417,0.9789958,0.00004956172,0.000131437,0.0001684193,0.008140251,0.0112355,0.0001391853,0.0001852238,0.0005942676,0.00002601736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984903,0.00006424721,0.0003008748,0.00009565151,0.000003472121,0.00004578188,0.0003467049,0.000005520624,0.0006474185],"genre_scores_gemma":[0.9986541,0.00006640724,0.0004135987,0.00004083525,0.00001559401,0.00007934508,0.0004573071,0.000006311175,0.0002664347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02237236,"threshold_uncertainty_score":0.04448426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066722208868847,"score_gpt":0.5226580563646553,"score_spread":0.4159858354777707,"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."}}