{"id":"W4200243112","doi":"10.2196/preprints.34850","title":"Payment Systems for Telemedicine: Comparative Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Telemedicine; Payment; Business; Incentive; Payment system; Medicine; Medical emergency; Health care; Finance; Economic growth; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.008550962,0.0002701567,0.0003410814,0.002341454,0.0006109203,0.002286691,0.0006087985,0.0007617913,0.01800308],"category_scores_gemma":[0.03129123,0.0002600996,0.001189529,0.004567219,0.0006895143,0.002398992,0.001065196,0.0007941319,0.001353703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003794506,"about_ca_system_score_gemma":0.001581834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004985273,"about_ca_topic_score_gemma":0.004128108,"domain_scores_codex":[0.9935778,0.004385259,0.0004821729,0.0002981584,0.0007790686,0.0004774146],"domain_scores_gemma":[0.9448677,0.04427527,0.00578777,0.0008917708,0.003280557,0.0008969566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007264789,0.005660193,0.8266622,0.003236266,0.001232058,0.0004852552,0.008716687,0.001959425,0.0003085647,0.02109079,0.01849885,0.1048849],"study_design_scores_gemma":[0.001237318,0.007305878,0.944566,0.001445692,0.0006391858,0.000823383,0.02698204,0.003168718,0.0003100256,0.00173788,0.01169889,0.00008503334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9837397,0.003602768,0.0005631892,0.0007180201,0.00009675648,0.0003768704,0.001080427,0.0000116084,0.009810653],"genre_scores_gemma":[0.9965707,0.001102123,0.0005140285,0.0001886545,0.0000667838,0.0002259607,0.0006153762,0.000006279165,0.0007100388],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01800308,"threshold_uncertainty_score":0.06022626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036163472867962,"score_gpt":0.424943534130674,"score_spread":0.3213271868438778,"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."}}