{"id":"W2061990808","doi":"10.1016/s1543-2912(13)60070-3","title":"Words That Make a Difference: Enhancing the “How” in “How We Say It”","year":2006,"lang":"en","type":"article","venue":"Supportive Cancer Therapy","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"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":[0.008868962,0.0007370548,0.00047876,0.001168344,0.005102025,0.008186218,0.001402341,0.003505354,0.005825364],"category_scores_gemma":[0.02894366,0.0003050481,0.0004936871,0.0007873857,0.01458834,0.01220183,0.007780399,0.006971552,0.001180188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913498,"about_ca_system_score_gemma":0.004434268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265347,"about_ca_topic_score_gemma":0.001495939,"domain_scores_codex":[0.98747,0.01013833,0.0002432858,0.0004765786,0.001112073,0.00055976],"domain_scores_gemma":[0.9772701,0.01804304,0.001621641,0.0007683001,0.001011794,0.001285048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000234951,0.000388716,0.002112399,0.0008854765,0.0000485807,0.0005788218,0.7631602,0.0002009671,0.005434446,0.112629,0.01404169,0.1002847],"study_design_scores_gemma":[0.0001788437,0.0003273492,0.003894493,0.002205012,0.000228618,0.001329923,0.6061789,0.0008475955,0.006897431,0.1138059,0.2639728,0.0001330277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4579844,0.01274891,0.04379005,0.1701244,0.003850214,0.0003663887,0.00009761596,0.0004157041,0.3106222],"genre_scores_gemma":[0.9529737,0.003222374,0.0193359,0.01080706,0.000345217,0.0003084767,0.00006315925,0.0002314923,0.01271264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008868962,"threshold_uncertainty_score":0.04690415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06515354018909057,"score_gpt":0.3120905201383228,"score_spread":0.2469369799492322,"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."}}