{"id":"W7099427007","doi":"","title":"ETUDE ET MODELISATION DYNAMIQUE D’UN PROCEDE PAR BIOFILTRATION EN","year":2015,"lang":"en","type":"article","venue":"","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filter (signal processing); Work (physics); Limiting","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":[0.0006015752,0.000880339,0.001159167,0.0007212163,0.001162293,0.002403614,0.001282407,0.002965886,0.002493428],"category_scores_gemma":[0.001553771,0.000703905,0.001491859,0.0006200954,0.001182975,0.001353466,0.0008845006,0.001361109,0.0002881195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429813,"about_ca_system_score_gemma":0.002241268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08543764,"about_ca_topic_score_gemma":0.02283152,"domain_scores_codex":[0.9996773,0.00005311798,0.00002423865,0.0000999843,0.00007928319,0.00006617665],"domain_scores_gemma":[0.9992137,0.0004616269,0.00005994146,0.00005813117,0.0001601063,0.00004653187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007007875,0.00004712373,0.002024168,0.00004843471,0.00002558723,0.0001061358,0.0000653645,0.987666,0.004924503,0.002257129,0.0001614429,0.002604138],"study_design_scores_gemma":[0.00001623948,0.0000224447,0.0005083588,0.000005640943,0.00000900602,0.00001723308,0.00003148258,0.9968972,0.001516712,0.0004997041,0.0004651032,0.00001087837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7452635,0.001279843,0.2302915,0.001592069,0.0003668922,0.0001970064,0.001495932,0.0009544421,0.01855872],"genre_scores_gemma":[0.9721231,0.00051651,0.01949947,0.00007536467,0.00002095991,0.0001887839,0.0003460698,0.00007753678,0.007152117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08543764,"threshold_uncertainty_score":0.1698807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416685868975775,"score_gpt":0.2590499879848945,"score_spread":0.2448831292951368,"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."}}