{"id":"W3147707097","doi":"10.1007/s00520-021-06167-z","title":"Breaking bad news to cancer patients in times of COVID-19","year":2021,"lang":"en","type":"article","venue":"Supportive Care in Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Social distance; Medicine; Context (archaeology); Coronavirus disease 2019 (COVID-19); Isolation (microbiology); Pandemic; Social media; Face (sociological concept); Nursing research; Telemedicine; Public relations; Internet privacy; Health care; Nursing; Sociology; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001733321,0.0001959735,0.0004734712,0.0002898845,0.0001811368,0.000005178139,0.000370706,0.0002117455,0.004544039],"category_scores_gemma":[0.001539217,0.0002084028,0.00006715252,0.001009444,0.00005920124,0.0001647719,0.0004395467,0.0006269742,0.00003596568],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003822225,"about_ca_system_score_gemma":0.006929755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08414433,"about_ca_topic_score_gemma":0.3388008,"domain_scores_codex":[0.9963468,0.0009875159,0.001165476,0.0004918962,0.000400585,0.0006077845],"domain_scores_gemma":[0.9965726,0.0006248177,0.0004844554,0.0006568164,0.001349607,0.0003116967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103456,0.00006612972,0.9113807,0.0008373032,0.00001107705,0.000009669303,0.07520514,0.0002505984,0.00002907563,0.000166115,0.006338892,0.005594929],"study_design_scores_gemma":[0.003161602,0.0001590482,0.7321054,0.002883597,0.00002143135,3.108836e-7,0.1372493,0.00003282798,0.000704538,0.0004611208,0.1227495,0.0004714356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488736,0.01380117,0.00001638973,0.02014146,0.002580606,0.003156987,0.001809284,0.00007358954,0.009546908],"genre_scores_gemma":[0.98478,0.0009368431,0.0002498323,0.01119688,0.00008155879,0.002170291,0.0001883383,0.00003905797,0.000357225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2546565,"threshold_uncertainty_score":0.9994985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600507799594071,"score_gpt":0.4924219342722909,"score_spread":0.3323711543128837,"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."}}