{"id":"W7117471421","doi":"10.1242/dmm.052770","title":"First person – Camille Lacarrière-Keïta","year":2025,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Autophagy in Disease and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"First person; Selection (genetic algorithm); Expression (computer science); Autophagy; Enteroendocrine cell","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":[0.007360629,0.001274566,0.001196656,0.001737315,0.008729504,0.007163688,0.001581679,0.004221944,0.09100123],"category_scores_gemma":[0.04727999,0.0008067153,0.0004192431,0.0008172165,0.003318907,0.005414683,0.005215809,0.01037979,0.04092305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006997567,"about_ca_system_score_gemma":0.008912559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009515233,"about_ca_topic_score_gemma":0.01292208,"domain_scores_codex":[0.990222,0.003545673,0.0003364422,0.001717145,0.003285852,0.0008929385],"domain_scores_gemma":[0.9525478,0.008476911,0.00254608,0.001665415,0.01897914,0.01578457],"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":[0.00006364484,0.0000622414,0.0003491883,0.0001464286,0.000005497708,0.000645506,0.008808422,0.00002248705,0.0008238175,0.002062286,0.9723914,0.01461921],"study_design_scores_gemma":[0.000008407706,0.00002063168,0.0002627113,0.0001727288,0.000001641425,0.0006181239,0.01003747,0.00003666022,0.0001902293,0.0005005674,0.988122,0.00002888949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01584201,0.02674433,0.007625686,0.743473,0.08818007,0.0008206049,0.001979255,0.00225696,0.1130781],"genre_scores_gemma":[0.1293815,0.006208871,0.006139873,0.3227438,0.00902292,0.001867944,0.0003853327,0.001794122,0.5224557],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09100123,"threshold_uncertainty_score":0.3044294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913976300138559,"score_gpt":0.2634243803403835,"score_spread":0.2442846173389979,"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."}}