{"id":"W3040488335","doi":"10.22541/au.159373337.78350316/v2","title":"Metal-loaded porous polyhydroxylic matrices with improved antibacterial properties","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Polyol; Metal; Montmorillonite; Antibacterial activity; Lewis acids and bases; Chemistry; Cellulose; Nanoparticle; Alkyl; Chemical engineering; Materials science; Polymer chemistry; Organic chemistry; Catalysis; Nanotechnology; Bacteria; Polyurethane","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001916983,0.0006408753,0.0009594257,0.0001271276,0.0001581468,0.0006476335,0.0008995431,0.0003284849,0.001999721],"category_scores_gemma":[0.0000219298,0.0004238157,0.0001804152,0.0001656319,0.0002536708,0.0002762458,0.0008952448,0.0004422753,0.0004831395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004973696,"about_ca_system_score_gemma":0.0004105304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002557475,"about_ca_topic_score_gemma":0.00008765348,"domain_scores_codex":[0.9971331,0.0001120096,0.0005444582,0.001110414,0.0004739233,0.0006260719],"domain_scores_gemma":[0.9985003,0.00001869599,0.0004045121,0.000736199,0.00008171534,0.0002585192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004263835,0.00006272041,0.00002763952,0.0002791781,0.0001232374,0.00003938424,0.000586458,0.00001381436,0.9977309,0.00007903645,0.0003408283,0.000290388],"study_design_scores_gemma":[0.0007072796,0.0002309062,0.0000993601,0.0001062031,0.0002921932,0.00003666169,0.0001373675,0.0001539112,0.9957026,0.0000662094,0.001690262,0.0007770943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985752,0.001944693,0.0002101351,0.001108795,0.002310125,0.0008201543,0.0001199736,0.0005927482,0.007141368],"genre_scores_gemma":[0.9939022,0.00005092375,0.002323118,0.0004254793,0.0007422519,0.00007776698,0.00005996688,0.00009780291,0.002320469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008150214,"threshold_uncertainty_score":0.9998214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444204473415804,"score_gpt":0.2282608334154676,"score_spread":0.2038187886813096,"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."}}