{"id":"W4388291808","doi":"10.1080/0284186x.2023.2269303","title":"Predictors of preparedness for recovery following colorectal cancer surgery: a latent class trajectory analysis","year":2023,"lang":"en","type":"article","venue":"Acta Oncologica","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Trinity Western University; Western University","funders":"Centrum fÖr Personcentrerad Vård; Göteborgs Universitet; Canada Research Chairs","keywords":"Medicine; Latent class model; Preparedness; Colorectal cancer; Longitudinal study; Health care; Cancer; Internal medicine; Pathology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004702169,0.0004259055,0.0003627294,0.001602353,0.0008543639,0.001632405,0.000774596,0.0006812091,0.003832189],"category_scores_gemma":[0.01240922,0.0002746654,0.001480255,0.001388501,0.000643066,0.00140143,0.001993135,0.001789646,0.0003938107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174966,"about_ca_system_score_gemma":0.001752954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255436,"about_ca_topic_score_gemma":0.006922488,"domain_scores_codex":[0.9984996,0.0007990041,0.00009842611,0.0001794868,0.0001624897,0.000260924],"domain_scores_gemma":[0.9940976,0.002737381,0.001474908,0.0005001098,0.0004329828,0.0007570311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001687248,0.0001965179,0.9914716,0.00001857367,0.00009758487,0.00004396008,0.0009702091,0.001426658,0.0001102002,0.0003725025,0.0002891838,0.004834148],"study_design_scores_gemma":[0.00002764317,0.0003346894,0.9327179,0.00008232272,0.000075509,0.0001372754,0.004077125,0.05962213,0.0001375703,0.002255167,0.0004921444,0.00004057281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959258,0.00007307844,0.002843797,0.0004044026,0.000007286677,0.0000616507,0.0004279542,0.00001559107,0.0002405519],"genre_scores_gemma":[0.9981216,0.00004150607,0.001078125,0.0000102886,0.000003237588,0.00005351411,0.0005615925,0.000006679259,0.0001235148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255436,"threshold_uncertainty_score":0.02496254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03949959594674898,"score_gpt":0.3145253672433359,"score_spread":0.275025771296587,"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."}}