{"id":"W7128577351","doi":"","title":"MASK-1 : Matériau de référence de masque médical pour l’efficacité de la filtration des particules","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filtration (mathematics); Particle (ecology); Public health; Health services","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":[0.001011397,0.0006937582,0.000361157,0.001228448,0.0006622145,0.000712128,0.0007146656,0.001441241,0.02116215],"category_scores_gemma":[0.001700562,0.0002141267,0.0003049448,0.0003733191,0.0003876221,0.0007485899,0.0004587749,0.0006353144,0.007397364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006861508,"about_ca_system_score_gemma":0.001115583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450525,"about_ca_topic_score_gemma":0.001521364,"domain_scores_codex":[0.998983,0.00008031271,0.0000388083,0.000135124,0.0007181915,0.00004451515],"domain_scores_gemma":[0.9994085,0.0001334103,0.00009834956,0.00007443962,0.0002423993,0.00004277738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001093836,0.0001670366,0.001237493,0.001499446,0.00003675544,0.0005245318,0.0003004043,0.0006928255,0.7006539,0.02534493,0.0575431,0.2109057],"study_design_scores_gemma":[0.0001191582,0.0005711936,0.002342412,0.0001713773,0.00004822133,0.001272701,0.00005686979,0.001828131,0.5323661,0.001466407,0.459713,0.0000443789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.3144962,0.05086789,0.1913222,0.004613209,0.006260777,0.001780205,0.01125921,0.01295446,0.4064458],"genre_scores_gemma":[0.5915444,0.008244459,0.1317468,0.0016579,0.0007136832,0.000859103,0.005169764,0.001553308,0.2585106],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02116215,"threshold_uncertainty_score":0.07079446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037005708004753,"score_gpt":0.3438684636114772,"score_spread":0.3034984065314296,"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."}}