{"id":"W572507426","doi":"","title":"Unravelling the Ribbon: Learning About Breast Cancer Through Poetic Transcription","year":2010,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ribbon; Poetry; Transcription (linguistics); Breast cancer; Biology; Art; Cancer; Literature; Genetics; Materials science; Philosophy; Linguistics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007145752,0.0005489366,0.0003715498,0.002022468,0.02308948,0.009766074,0.0017484,0.002384323,0.01361339],"category_scores_gemma":[0.02535279,0.0003059165,0.0002415815,0.002168076,0.02869124,0.005011687,0.006295779,0.007462805,0.001199259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02584191,"about_ca_system_score_gemma":0.05035827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5796527,"about_ca_topic_score_gemma":0.7552987,"domain_scores_codex":[0.9963197,0.001986522,0.00005833446,0.0001969887,0.0007872067,0.0006512675],"domain_scores_gemma":[0.9872184,0.007078025,0.0004372096,0.000902353,0.002411339,0.001952682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007158943,0.00003249907,0.001847807,0.0001988396,0.000004570958,0.0003392358,0.7022299,0.0001734188,0.001400365,0.1876538,0.04694441,0.05910356],"study_design_scores_gemma":[0.0000184213,0.00002409513,0.002713036,0.0004385211,0.00001192462,0.0003128645,0.3599949,0.0004329439,0.0009944409,0.02601021,0.6089877,0.00006091003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1560229,0.005084658,0.03070048,0.1435175,0.004828041,0.0002566406,0.0004629055,0.0004891614,0.6586378],"genre_scores_gemma":[0.9236183,0.002359729,0.007795865,0.004124759,0.000320072,0.00008663327,0.0001441682,0.0003088329,0.06124162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5796527,"threshold_uncertainty_score":0.8456455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317906099279818,"score_gpt":0.2962999314145698,"score_spread":0.2731208704217716,"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."}}