{"id":"W4309878630","doi":"10.1503/cjs.000122","title":"Can a mobile app technology reduce emergency department visits and readmissions after lung resection? A prospective cohort study","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Medicine; Emergency department; Prospective cohort study; Anxiety; Perioperative; Depression (economics); Cohort; Emergency medicine; Intervention (counseling); Physical therapy; Internal medicine; Surgery; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911951,0.0004293368,0.0005390535,0.0006000329,0.0009946788,0.001164918,0.0005871729,0.001433717,0.002604245],"category_scores_gemma":[0.004704919,0.0006476,0.002359807,0.0008720168,0.0003716254,0.001123318,0.000678985,0.001519905,0.0005765343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516552,"about_ca_system_score_gemma":0.0008150573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008926389,"about_ca_topic_score_gemma":0.01075814,"domain_scores_codex":[0.9986834,0.000317013,0.0001654122,0.0003420195,0.0002008726,0.0002913559],"domain_scores_gemma":[0.9977425,0.0003797404,0.0007804465,0.000333184,0.000292562,0.0004714577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00420879,0.002249182,0.9863878,0.000147872,0.001169396,0.0001217566,0.0004268628,0.00003367801,0.0002734987,0.00003729825,0.000749196,0.004194729],"study_design_scores_gemma":[0.0006911676,0.006115866,0.9899053,0.0000959923,0.0009457422,0.0001811823,0.0008228348,0.0002196911,0.0001233035,0.00005381446,0.0008153053,0.00002986976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979286,0.0004888001,0.0001182282,0.0001265556,0.00004562135,0.0001590258,0.0007139021,0.00000515718,0.0004140513],"genre_scores_gemma":[0.9981352,0.0002715988,0.000195776,0.0002859087,0.00005719265,0.0002097494,0.0005208116,0.00000423044,0.000319433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008926389,"threshold_uncertainty_score":0.01774889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209281052942589,"score_gpt":0.2824086768062468,"score_spread":0.2703158662768209,"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."}}