{"id":"W3162810504","doi":"10.1002/nop2.926","title":"Risk factors for low self‐care self‐efficacy in cancer survivors: Application of latent profile analysis","year":2021,"lang":"en","type":"article","venue":"Nursing Open","topic":"Cancer survivorship and care","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Self-efficacy; Latent class model; Marital status; Multinomial logistic regression; Logistic regression; Medicine; Clinical psychology; Cancer; Social support; Demography; Categorization; Psychology; Gerontology; Internal medicine; Environmental health; Population; Social psychology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001681213,0.0001348737,0.0004777691,0.0001439672,0.00006080656,0.00003628197,0.000167067,0.0001016641,0.000101624],"category_scores_gemma":[0.000042944,0.0001259418,0.0001860256,0.001090657,0.00002232037,0.00008201135,0.00003582831,0.0001251173,0.000002104926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101439,"about_ca_system_score_gemma":0.0002820676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01734105,"about_ca_topic_score_gemma":0.02457929,"domain_scores_codex":[0.998829,0.00007425133,0.0002924954,0.0003843675,0.0002094668,0.0002104127],"domain_scores_gemma":[0.9989073,0.0000963768,0.0001561902,0.0004080713,0.0003481234,0.00008394635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002786772,0.001650621,0.8945965,0.0004668405,0.0007888936,0.000003512042,0.03681826,0.0007104766,0.0006041999,0.00007011012,0.0003046817,0.0637072],"study_design_scores_gemma":[0.002506926,0.0001908586,0.9460003,0.0005727343,0.002658915,0.00000115349,0.009690595,0.004917745,0.02947658,0.00004720008,0.003631256,0.0003056861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950889,0.0007852973,0.0007417327,0.0003799956,0.0002446289,0.001434722,0.0002197639,0.00004656356,0.001058335],"genre_scores_gemma":[0.9979046,0.00008310584,0.0009462755,0.00003906648,0.00006790208,0.0002395439,0.0005259771,0.00002467146,0.0001688409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06340151,"threshold_uncertainty_score":0.9932196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550644639723888,"score_gpt":0.3489797390641904,"score_spread":0.3234732926669515,"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."}}