{"id":"W7034534171","doi":"","title":"Traitement photodynamique de la maladie du greffon contre l'hôte chronique dans un modèle murin","year":2005,"lang":"fr","type":"other","venue":"Open MIND","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animal model; Disease; Autoimmune disease; Chronic disease","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":[0.000361873,0.0006770084,0.001007981,0.000380811,0.0007446078,0.001657552,0.0009950066,0.001768596,0.007067984],"category_scores_gemma":[0.001265675,0.0003581045,0.0009112144,0.0002638268,0.001102718,0.001144386,0.0007194332,0.00109598,0.0005419878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034192,"about_ca_system_score_gemma":0.001525513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04116794,"about_ca_topic_score_gemma":0.02885692,"domain_scores_codex":[0.9998714,0.00002013669,0.00000321393,0.00004036756,0.000028797,0.0000360284],"domain_scores_gemma":[0.9995373,0.0002334122,0.00006298533,0.00003503974,0.00008710031,0.00004407471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003526385,0.0001109601,0.002040473,0.0001212177,0.0000784845,0.0004645264,0.0001907909,0.8897821,0.02121677,0.06906818,0.003279764,0.01329411],"study_design_scores_gemma":[0.00004765172,0.00004605965,0.0006317495,0.00001183287,0.00003575415,0.00007719001,0.00004289074,0.9839086,0.00352871,0.008983634,0.002655854,0.00003021098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4103164,0.004979177,0.5213458,0.0042412,0.001101622,0.0001586976,0.0008185287,0.001847295,0.0551913],"genre_scores_gemma":[0.9218872,0.001056457,0.01535625,0.0002175888,0.00006973702,0.00008190008,0.0001474009,0.0001417024,0.06104172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04116794,"threshold_uncertainty_score":0.08185667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119555270861788,"score_gpt":0.262916573193987,"score_spread":0.2417210204853691,"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."}}