{"id":"W4248807530","doi":"10.1093/geront/gnw162.1538","title":"BEREAVED CANCER CAREGIVERS’ PREPAREDNESS FOR SPOUSE/PARTNER LOSS","year":2016,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Family Support in Illness","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spouse; Preparedness; Cancer; Psychology; Medicine; Nursing; Sociology; Political science; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236376,0.0001493443,0.000191067,0.0003493259,0.001032167,0.0007728073,0.0002299235,0.0001848688,0.01084748],"category_scores_gemma":[0.004180425,0.0000764162,0.0002864278,0.0002045042,0.00023635,0.0003955269,0.001141498,0.000451344,0.0003858557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002939409,"about_ca_system_score_gemma":0.0006248463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004974845,"about_ca_topic_score_gemma":0.01740726,"domain_scores_codex":[0.9996353,0.0001289407,0.00003547448,0.00002857738,0.00006436231,0.0001072599],"domain_scores_gemma":[0.9989064,0.0001988274,0.0003445613,0.0000789409,0.0002243603,0.0002468935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000591962,0.0004669676,0.8800804,0.0001416377,0.0001819415,0.0008166061,0.01936281,0.0001328353,0.002445817,0.0005270821,0.004995365,0.09025665],"study_design_scores_gemma":[0.00003067584,0.0002323197,0.8880126,0.0001651705,0.000105943,0.001120824,0.09562903,0.0003029012,0.001076947,0.0003561629,0.01294782,0.00001966773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934644,0.0002688036,0.00008742935,0.000509642,0.00004341784,0.00002226271,0.00009726539,0.000004725926,0.005501935],"genre_scores_gemma":[0.9977694,0.0001598877,0.00007163725,0.0001419068,0.000006160884,0.00001439132,0.00005993724,0.000001093733,0.001775647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084748,"threshold_uncertainty_score":0.03628844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07014805311833121,"score_gpt":0.3632499632495359,"score_spread":0.2931019101312047,"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."}}