{"id":"W3191077464","doi":"10.2196/26580","title":"Context and Complexity in Telemedicine Evaluation: Work Domain Analysis in a Surgical Setting","year":2021,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociotechnical system; Telemedicine; Context (archaeology); Domain (mathematical analysis); Computer science; Health care; Key (lock); Work (physics); Management science; Data science; Knowledge management; Risk analysis (engineering); Process management; Medicine; Engineering; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002420942,0.0003043632,0.001246957,0.0007785209,0.0001130059,0.00001517778,0.00006322929,0.0001121564,0.00437891],"category_scores_gemma":[0.0005783602,0.0002336667,0.0000714341,0.003525061,0.0004613232,0.000116092,0.00005925569,0.0005496,0.000006263996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329843,"about_ca_system_score_gemma":0.0003860944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005350882,"about_ca_topic_score_gemma":0.006587004,"domain_scores_codex":[0.9961689,0.0006303695,0.001162304,0.0006686206,0.0008794255,0.0004903696],"domain_scores_gemma":[0.9983981,0.0003555203,0.0001616255,0.000330363,0.0004430816,0.000311366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004596689,0.0002412366,0.9250554,0.0001385308,0.0001945497,0.001368555,0.01714853,0.000008701925,0.0004866432,0.0008207485,0.0006338097,0.05344358],"study_design_scores_gemma":[0.02029352,0.0006787166,0.9352301,0.000599012,0.0003606737,0.0002568364,0.02809522,0.001308581,0.00008072571,0.0001295784,0.01275553,0.0002115198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523838,0.003281305,0.0001297552,0.03891854,0.0001028778,0.001562402,0.000008280519,0.00003110163,0.003581987],"genre_scores_gemma":[0.9937096,0.000178733,0.001004283,0.003422828,0.0004550579,0.0003275722,0.0005962519,0.00002021101,0.0002854872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05323206,"threshold_uncertainty_score":0.9965312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09269986878659388,"score_gpt":0.4277757241015412,"score_spread":0.3350758553149474,"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."}}