{"id":"W3040609178","doi":"10.31646/gbio.80","title":"Unmasking reasons for face mask resistance","year":2020,"lang":"en","type":"article","venue":"Global Biosecurity","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Face (sociological concept); Resistance (ecology); Philosophy; Linguistics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092173,0.0001373207,0.0001958946,0.000007675776,0.0002051579,0.0001466624,0.0002974145,0.00007481866,0.0003980979],"category_scores_gemma":[0.0003689062,0.0001309011,0.00007531115,0.0001827234,0.00006806057,0.0001395068,0.0001013887,0.00003716843,0.0004148124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008497073,"about_ca_system_score_gemma":0.00008209419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003312329,"about_ca_topic_score_gemma":0.0001012175,"domain_scores_codex":[0.9987578,0.00006961653,0.000234678,0.0003876605,0.0002202852,0.000329917],"domain_scores_gemma":[0.9994011,0.00003978936,0.00009901403,0.0002204146,0.00007909124,0.000160571],"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":[0.0005065582,0.0001375254,0.0007528107,0.0003692272,0.00002461551,0.00001109124,0.00189123,0.0000942785,0.6581516,0.2541869,0.08303348,0.0008406327],"study_design_scores_gemma":[0.003823539,0.0004319708,0.01972876,0.0002205514,0.0002286442,0.00001412827,0.001641402,0.001352693,0.313381,0.1175918,0.5396962,0.001889214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558459,0.0004668655,0.01558424,0.01449412,0.001047383,0.0007668135,0.004254034,0.0004214772,0.007119158],"genre_scores_gemma":[0.9942967,0.000005131536,0.004562117,0.000751984,0.0002578229,0.00003773623,0.00002766717,0.000008320608,0.00005257667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4566628,"threshold_uncertainty_score":0.5337991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787374193956731,"score_gpt":0.29469286885097,"score_spread":0.2568191269114026,"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."}}