{"id":"W7021170451","doi":"","title":"Modélisation toxicocinétique de terres rares pour l’interprétation de données de biosurveillance","year":2021,"lang":"fr","type":"other","venue":"Open MIND","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada","keywords":"Theria; Derogation; Acute chest syndrome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002458382,0.001049361,0.001674429,0.001038819,0.0004090848,0.002202013,0.0009882589,0.001415955,0.003741332],"category_scores_gemma":[0.003200491,0.0006424767,0.001931208,0.0010489,0.000710474,0.0008842141,0.001046218,0.001566965,0.0007938618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139859,"about_ca_system_score_gemma":0.002189561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419621,"about_ca_topic_score_gemma":0.008905893,"domain_scores_codex":[0.9978966,0.000565904,0.0001682785,0.0004253322,0.0008106699,0.0001331094],"domain_scores_gemma":[0.9978225,0.001009868,0.0002624137,0.0002470963,0.0005870403,0.00007116651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001565027,0.0004308392,0.01911759,0.004400557,0.0007828195,0.0007692408,0.0006256723,0.2269132,0.6432433,0.01122409,0.00336071,0.08756691],"study_design_scores_gemma":[0.0002018991,0.001741068,0.01781738,0.0003894053,0.0006963483,0.0007249952,0.0006153377,0.6395079,0.2780963,0.008971317,0.05097758,0.0002605521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3205647,0.00857721,0.6431734,0.001371497,0.0004951878,0.001164026,0.00946672,0.002449221,0.01273798],"genre_scores_gemma":[0.7443416,0.009955124,0.2204469,0.0004612521,0.00009468642,0.002599769,0.008521409,0.0004045735,0.01317468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01419621,"threshold_uncertainty_score":0.02822715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270675360964135,"score_gpt":0.3095322683703825,"score_spread":0.2768255147607411,"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."}}