{"id":"W1593478234","doi":"","title":"Helping service users cope with terminal illness","year":2013,"lang":"en","type":"article","venue":"Bristol Research (University of Bristol)","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"","keywords":"Terminal (telecommunication); Service (business); Internet privacy; Psychology; Business; Computer science; Computer network; Marketing","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":[0.0004066092,0.0001409287,0.0004604082,0.0003782823,0.0002460967,0.00001597926,0.0003983542,0.0001063119,0.0004832074],"category_scores_gemma":[0.0001451377,0.0001473132,0.00009009418,0.0008943231,0.000635059,0.0003315013,0.0001950202,0.0003725693,0.0002067049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214245,"about_ca_system_score_gemma":0.0004008043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986646,"about_ca_topic_score_gemma":0.001021654,"domain_scores_codex":[0.9980441,0.0001499943,0.0001580034,0.0003285267,0.0008927992,0.0004265493],"domain_scores_gemma":[0.997196,0.0002049158,0.0001323665,0.0004311955,0.001739524,0.0002959578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008283078,0.00229233,0.4832337,0.009369458,0.001747304,0.005034764,0.0591184,0.00007859216,0.05206981,0.001201371,0.2262086,0.1513626],"study_design_scores_gemma":[0.0115128,0.003523052,0.2629034,0.008281413,0.0004206783,0.0003408312,0.2297879,0.002833611,0.01011103,0.0002657947,0.4688,0.00121949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842139,0.0005799745,0.0006219893,0.002620894,0.0000305411,0.000508079,0.00002103827,0.00003694499,0.0113666],"genre_scores_gemma":[0.9914105,0.0003128469,0.00379391,0.0001018419,0.00003981793,0.0000016441,0.00003040646,0.00002138121,0.004287666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425915,"threshold_uncertainty_score":0.9866603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1606271443891363,"score_gpt":0.3959916634152987,"score_spread":0.2353645190261624,"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."}}