{"id":"W2074794912","doi":"10.1089/tmj.2012.0299","title":"The Ontario Telemedicine Network: A Case Report","year":2013,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network","funders":"","keywords":"Telemedicine; Corporation; Health care; Business; Government (linguistics); Telecommunications; Medical emergency; Medicine; Computer science; Finance; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004483624,0.0002264487,0.0005242871,0.0001785978,0.001801492,0.0002059575,0.0001897457,0.00008852654,0.0003996736],"category_scores_gemma":[0.0001371423,0.0001243246,0.0000591877,0.0003700755,0.0001448025,0.000366997,0.0001251209,0.0009277655,0.00006395053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810492,"about_ca_system_score_gemma":0.0003529828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3914343,"about_ca_topic_score_gemma":0.2480126,"domain_scores_codex":[0.9971628,0.00003466856,0.001232641,0.0002576507,0.0003785582,0.0009336374],"domain_scores_gemma":[0.9981467,0.00005134632,0.001042692,0.0003156496,0.0002869116,0.0001567147],"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":[0.000009688673,0.00002695245,0.05023901,0.0001739923,0.00005054147,0.006260557,0.0002726084,0.000001272558,0.00000176043,0.00416852,0.595004,0.3437911],"study_design_scores_gemma":[0.0007533815,0.0001779948,0.03480753,0.0002371334,0.00001437676,0.09375154,0.001574029,0.0001852424,8.777184e-8,0.004069421,0.8643,0.0001292947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5385617,0.008507371,0.0007410778,0.4405228,0.003222465,0.001348127,5.252981e-7,0.000207571,0.006888303],"genre_scores_gemma":[0.956542,0.0007478495,0.0004044269,0.02775153,0.01131413,0.00004180506,0.000009984583,0.000036332,0.003151938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179803,"threshold_uncertainty_score":0.999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094865549810524,"score_gpt":0.280018986015437,"score_spread":0.2490703305173317,"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."}}