{"id":"W3205954896","doi":"10.2196/28612","title":"The Potential Impacts of a Digital Preoperative Assessment Service on Appointments, Travel-Related Carbon Dioxide Emissions, and User Experience: Case Study","year":2021,"lang":"en","type":"article","venue":"JMIR Perioperative Medicine","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Usability; Face-to-face; Service (business); Health care; Sample (material); Medical emergency; Business; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.0003785809,0.0003557534,0.001032801,0.00007548068,0.0003097729,0.00005963215,0.00007886061,0.00009795157,0.0001573842],"category_scores_gemma":[0.0003254741,0.0001851484,0.0001396945,0.0004145402,0.000339964,0.0001183328,0.00008337015,0.0003792241,0.000002028089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076576,"about_ca_system_score_gemma":0.0002927851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002331879,"about_ca_topic_score_gemma":0.0000715917,"domain_scores_codex":[0.9974572,0.0003854052,0.0006352314,0.0004926262,0.0007195153,0.0003100375],"domain_scores_gemma":[0.9981861,0.0004652959,0.000121629,0.0004415073,0.0004349306,0.0003505828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002388367,0.004364754,0.5668975,0.0002380639,0.002549582,0.07131153,0.2609533,0.00003257997,0.08434058,0.002594697,0.0001769683,0.004152149],"study_design_scores_gemma":[0.01279057,0.005116277,0.4970011,0.0005273796,0.0004802852,0.01115314,0.4657511,0.0004044189,0.003867343,0.000003609672,0.002498943,0.000405785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873415,0.0007075525,0.000008683578,0.005216624,0.0001373185,0.001649222,0.000009607579,0.00002565385,0.004903848],"genre_scores_gemma":[0.9951208,0.0001367996,0.00002846508,0.0004669824,0.0001076318,0.0001908504,0.0000282507,0.00002801847,0.003892198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2047978,"threshold_uncertainty_score":0.7550133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542539707787981,"score_gpt":0.336952278554432,"score_spread":0.3215268814765522,"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."}}