{"id":"W4399463348","doi":"10.1002/wjs.12239","title":"Digitizing operating theater data in resource‐limited settings: Understanding surgical care delivery post‐implementation at Tanzanian referral hospital","year":2024,"lang":"en","type":"article","venue":"World Journal of Surgery","topic":"Global Health and Surgery","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"McGill University","keywords":"Medicine; Perioperative; Interventional radiology; Referral; Psychological intervention; Medical emergency; Stakeholder engagement; Stakeholder; Resource (disambiguation); Orthopedic surgery; Nursing; Surgery; Public relations; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002082847,0.0002176348,0.0005877096,0.0009264469,0.0001715787,0.0001596188,0.0001356647,0.00008694957,0.0001993485],"category_scores_gemma":[0.0001931836,0.0001781976,0.0002182127,0.0006831746,0.00004926892,0.0006487398,0.0001549391,0.0006256364,0.00001123513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224156,"about_ca_system_score_gemma":0.000542396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006689016,"about_ca_topic_score_gemma":0.0001850431,"domain_scores_codex":[0.9969951,0.0001912993,0.001232536,0.0003381463,0.0006134912,0.0006294356],"domain_scores_gemma":[0.9979505,0.001041096,0.0002293282,0.0002862755,0.0001551764,0.000337622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001734012,0.0001859824,0.7794604,0.001783797,0.0003309603,0.03630089,0.005270145,0.00002628499,0.0007829259,0.0004334761,0.1259992,0.04769194],"study_design_scores_gemma":[0.005143542,0.0007130785,0.1159787,0.02064946,0.0005146887,0.009715935,0.1181927,0.0008319088,0.0006160776,0.0001175233,0.7260982,0.001428187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811524,0.0066551,0.000009419213,0.008852022,0.0009678369,0.0001915217,0.00008232272,0.00004706444,0.002042386],"genre_scores_gemma":[0.9971825,0.0002694006,0.0001281886,0.001231169,0.000621626,0.000001976593,0.0004125053,0.00004089597,0.0001117301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6634817,"threshold_uncertainty_score":0.7266686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07789747572519846,"score_gpt":0.3438602500514578,"score_spread":0.2659627743262594,"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."}}