{"id":"W4406656950","doi":"10.1016/b978-0-443-10303-2.50126-0","title":"10.1016/b978-0-443-10303-2.50126-0","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Antimicrobial; Medicine; Biology; Microbiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007296264,0.001831433,0.001236535,0.001728878,0.001073485,0.003961683,0.002454021,0.003388607,0.9713987],"category_scores_gemma":[0.001277867,0.0007069258,0.000846354,0.001758204,0.0009765225,0.003717394,0.002594955,0.001880186,0.9839468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008499897,"about_ca_system_score_gemma":0.0007134315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259303,"about_ca_topic_score_gemma":0.002154479,"domain_scores_codex":[0.9996344,0.00002149251,0.00002319944,0.000118122,0.0001416032,0.00006117831],"domain_scores_gemma":[0.9987565,0.0004056708,0.00008131842,0.0001617266,0.0002365374,0.0003582388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001335339,0.00009658634,0.0002632923,0.0004693505,0.00001544326,0.0001177919,0.00006393502,0.0003033823,0.003004978,0.005731071,0.3249574,0.6648433],"study_design_scores_gemma":[0.00001273719,0.00003492558,0.000329207,0.0001943806,0.000005356307,0.0001934179,0.00004373999,0.00009601709,0.0003642784,0.0009433667,0.9977728,0.000009683622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001790984,0.000757541,0.001096914,0.0002718218,0.0001925954,0.00003984636,0.0005474186,0.0008280844,0.9960867],"genre_scores_gemma":[0.000487946,0.0004609685,0.0004397222,0.000108488,0.00004305129,0.00002804095,0.0004086976,0.0002002555,0.9978228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02860129,"threshold_uncertainty_score":0.04079616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008719741208980013,"score_gpt":0.1770958437409064,"score_spread":0.1683761025319264,"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."}}