{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000853018,0.0001880123,0.0002044444,0.0001461045,0.0005967763,0.0003049037,0.0001933477,0.0000315755,0.002691692],"category_scores_gemma":[0.00003076809,0.0001634589,0.0002463443,0.00005015763,0.00007335308,0.0001251279,0.00005470868,0.00006774869,0.00009446731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004393944,"about_ca_system_score_gemma":0.00008793254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002787498,"about_ca_topic_score_gemma":0.0003293581,"domain_scores_codex":[0.9989706,0.00001705676,0.0001617106,0.000335517,0.0002434558,0.0002717139],"domain_scores_gemma":[0.9992494,0.0000228028,0.00004507376,0.000353946,0.0001542578,0.0001745456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002448876,0.00007384338,0.000005412221,0.00004295393,0.00008189392,0.0000173264,0.002450361,0.001661311,0.000007517925,0.9927292,0.002711296,0.0001943277],"study_design_scores_gemma":[0.0003008278,0.0000195585,0.00001197869,0.00007500424,0.000492254,1.255224e-7,0.003890514,0.2392499,0.00003979182,0.6866778,0.06893502,0.0003072472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01295544,0.002745719,0.07101809,0.004612893,0.002164721,0.0004328076,0.0004161291,0.0003722428,0.905282],"genre_scores_gemma":[0.9724976,0.0000484614,0.0001706555,0.001107747,0.0005135068,0.00003570118,0.00005446104,0.0000202217,0.02555169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9595421,"threshold_uncertainty_score":0.99822,"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."}}