{"id":"W4248461624","doi":"10.5858/2008-132-745-ntsatf","title":"NightHawk Teleradiology Services: A Template for Pathology?","year":2008,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Radiology practices and education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teleradiology; Medicine; Pathology; Computer science; Telemedicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005251018,0.0002698505,0.0009565674,0.0003779761,0.0001958794,0.000001023702,0.0002173329,0.000272859,0.0001170779],"category_scores_gemma":[0.0004847489,0.0002094849,0.0001125672,0.0002242827,0.002442161,0.0001047796,0.00004001644,0.0003691617,0.00001908814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156654,"about_ca_system_score_gemma":0.000340189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001684377,"about_ca_topic_score_gemma":0.000007585699,"domain_scores_codex":[0.9978777,0.0003237052,0.0006662251,0.0005386357,0.0001268071,0.0004669657],"domain_scores_gemma":[0.9974388,0.001100267,0.0004363827,0.0006091726,0.0002022381,0.0002131012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004012802,0.0009468793,0.290157,0.001196959,0.0005794678,0.004633042,0.04603501,0.00001525101,0.6315771,0.0064989,0.009634545,0.004712967],"study_design_scores_gemma":[0.01284693,0.01013902,0.8258386,0.000449367,0.0009400503,0.02252324,0.004321063,0.0002645421,0.007125723,0.005752097,0.1091978,0.0006015553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852484,0.003192773,0.0009577046,0.005517484,0.00081883,0.0006210629,0.00005143028,0.00007848946,0.003513832],"genre_scores_gemma":[0.9803788,0.001603851,0.01207842,0.00416875,0.0008410318,0.0001281534,0.000243279,0.00004366654,0.0005140575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244514,"threshold_uncertainty_score":0.8998243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004375311020882,"score_gpt":0.3128186836323836,"score_spread":0.2827749305221748,"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."}}