{"id":"W2184684270","doi":"","title":"A BASELINE STUDY OF THE FACTORS THAT SHOULD BE USED TO MEASURE THE EFFECTIVENESS OF TELEMEDICINE","year":2008,"lang":"en","type":"article","venue":"","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Baseline (sea); Health care; Expansive; Task (project management); Regression analysis; Computer science; Medicine; Geography; Engineering","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":[0.003628094,0.0002358296,0.0003330393,0.0008541751,0.0006995705,0.0007455287,0.0002818502,0.0003189727,0.003048529],"category_scores_gemma":[0.01017347,0.0001292456,0.0005120561,0.001049217,0.0003519621,0.0008238688,0.0004297702,0.0006171706,0.0003583108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176549,"about_ca_system_score_gemma":0.001246023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004229679,"about_ca_topic_score_gemma":0.004816639,"domain_scores_codex":[0.9981605,0.0009781221,0.0001831405,0.0001270998,0.0003904637,0.0001607535],"domain_scores_gemma":[0.9917011,0.003597997,0.001454214,0.0004167903,0.0021679,0.0006620039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007351704,0.002866599,0.9502783,0.0001493529,0.00006085783,0.0001303783,0.002697242,0.0005008177,0.004165253,0.0006376666,0.0008497333,0.03692865],"study_design_scores_gemma":[0.00001797422,0.002736039,0.9901461,0.00002501233,0.00001457048,0.00005356766,0.004263898,0.0006636943,0.001039333,0.00007390899,0.0009575353,0.000008407374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949864,0.00006039404,0.001307391,0.0001008721,0.000006822237,0.0002461915,0.0005992852,0.00001366315,0.002678964],"genre_scores_gemma":[0.9951785,0.00005335825,0.002707889,0.00003569495,0.000006917841,0.000352559,0.001131095,0.000003829879,0.000530181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004229679,"threshold_uncertainty_score":0.01918739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3540873105641809,"score_gpt":0.466635467050188,"score_spread":0.1125481564860072,"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."}}