{"id":"W4414613966","doi":"10.1242/dmm.052050","title":"First person – Lucie Perillat","year":2025,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sick child; Selection (genetic algorithm); First person; Muscular dystrophy; Clinical Ethics; Bioethics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0098534,0.001080126,0.0009887236,0.001796927,0.01101558,0.01008815,0.001117559,0.00331501,0.04185122],"category_scores_gemma":[0.04142382,0.000583276,0.0003998246,0.0009602755,0.008667209,0.007422971,0.004520825,0.01062124,0.01992358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008545939,"about_ca_system_score_gemma":0.006008688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00781904,"about_ca_topic_score_gemma":0.007362643,"domain_scores_codex":[0.9805911,0.01228468,0.0003536641,0.002507108,0.003343628,0.0009197574],"domain_scores_gemma":[0.973422,0.01185847,0.001385173,0.001260936,0.007090999,0.004982413],"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":[0.00006349864,0.00004759531,0.0004018239,0.0001582216,0.00001012765,0.000522274,0.06347639,0.00006713679,0.0006475456,0.02053777,0.8979554,0.01611222],"study_design_scores_gemma":[0.000004437669,0.000009565321,0.0001577328,0.0001738852,0.000001621044,0.0003590651,0.02435617,0.00006624022,0.000165507,0.002069424,0.9726121,0.00002429622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01571458,0.02076218,0.01025455,0.8232897,0.02818711,0.0002351661,0.0009244548,0.0009719436,0.09966036],"genre_scores_gemma":[0.3607395,0.007135863,0.008515219,0.2633317,0.006171598,0.0009226448,0.0003510558,0.002262487,0.35057],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04185122,"threshold_uncertainty_score":0.1400063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187701371215997,"score_gpt":0.2489949749371527,"score_spread":0.2071179612249928,"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."}}