{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005763855,0.000175705,0.000873177,0.0003710724,0.00007684354,0.00001127146,0.0001172599,0.0002071525,0.000170305],"category_scores_gemma":[0.0003215479,0.0001423222,0.00106436,0.00163824,0.00005577701,0.00006988945,0.00005015694,0.0001151152,0.000002957445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004286104,"about_ca_system_score_gemma":0.0006276995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007336438,"about_ca_topic_score_gemma":0.003907366,"domain_scores_codex":[0.9984305,0.00007934526,0.0004062188,0.0003895383,0.0003235838,0.0003708184],"domain_scores_gemma":[0.998373,0.0009311603,0.0001936255,0.0002361438,0.0001328104,0.0001332882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002490514,0.0002869398,0.9310091,0.0002793354,0.005692402,0.00008441506,0.002701285,0.000338636,0.01095053,0.000007557308,0.03784515,0.0083141],"study_design_scores_gemma":[0.001508418,0.001300902,0.950581,0.0001712526,0.006133702,0.00000431639,0.001862152,0.001020999,0.00349783,0.0000495009,0.03345568,0.0004142349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955504,0.0002517612,0.00001978688,0.0004737213,0.001803248,0.0006292566,0.0002213213,0.0002055144,0.0008449929],"genre_scores_gemma":[0.9976692,0.0003037863,0.00003602184,0.0001830196,0.000216115,0.0006117747,0.0002509037,0.00002403084,0.0007051566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01957187,"threshold_uncertainty_score":0.5803729,"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."}}