{"id":"W2220259373","doi":"10.1002/pon.3873","title":"Abstracts","year":2015,"lang":"en","type":"article","venue":"Psycho-Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Edith Cowan University; University of Calgary","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002729689,0.00008975052,0.0002350394,0.00006193635,0.0000185766,0.000005864609,0.00007306955,0.0001633844,0.0004014958],"category_scores_gemma":[0.00006742059,0.00007833076,0.00006138475,0.0001262571,0.00005494325,0.00003408019,0.00001725403,0.0002060225,0.0008243063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384828,"about_ca_system_score_gemma":0.0003564014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003350386,"about_ca_topic_score_gemma":0.0006655245,"domain_scores_codex":[0.9991947,0.00003726543,0.0001860145,0.0001939392,0.0001667459,0.0002213035],"domain_scores_gemma":[0.9991849,0.00004661252,0.00005751405,0.000253763,0.0001170082,0.0003401683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002855842,0.001283425,0.02986043,0.000104504,0.0001964527,0.0008612309,0.04093516,0.00001165221,0.004837879,0.001237564,0.5861038,0.3317121],"study_design_scores_gemma":[0.001961669,0.0008570413,0.008557785,0.00001302867,0.00003889552,0.0002206405,0.004157866,0.000005284649,0.0005511803,0.0005980196,0.9829491,0.00008951788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4412619,0.0007686648,0.00006791182,0.00750313,0.003174948,0.0001533717,0.000003474174,0.00008521335,0.5469813],"genre_scores_gemma":[0.9919572,0.0000554336,0.0003550576,0.003706837,0.0008281085,0.00002716125,0.00001493672,0.00001652219,0.003038717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5506953,"threshold_uncertainty_score":0.9999537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07217221033274634,"score_gpt":0.3883749924266288,"score_spread":0.3162027820938824,"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."}}