{"id":"W4393853425","doi":"10.1101/2024.04.02.24304316","title":"Antibiotic Resistance Spread and Resistance Control Options. Estonian Experience","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Ministry of Rural Affairs","keywords":"Antibiotic resistance; Antibiotics; Resistance (ecology); Human medicine; Human health; Biology; Transmission (telecommunications); Medicine; Biotechnology; Microbiology; Environmental health; Ecology; Traditional medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001695258,0.0003062358,0.0002388034,0.0007949038,0.001164689,0.001678373,0.0006049368,0.000753084,0.004118891],"category_scores_gemma":[0.002354424,0.0001915436,0.0003030393,0.00106328,0.001478203,0.0008575267,0.002156329,0.0008830804,0.0003771226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004316661,"about_ca_system_score_gemma":0.004865364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424028,"about_ca_topic_score_gemma":0.02571036,"domain_scores_codex":[0.9988357,0.0003971152,0.000150915,0.0001002717,0.0001564,0.0003595762],"domain_scores_gemma":[0.9981295,0.0006210161,0.0004297302,0.00008302504,0.0002583416,0.0004783123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001210883,0.001733347,0.3681311,0.00493685,0.0001768462,0.03911121,0.0835536,0.003673133,0.006181662,0.04298224,0.03818692,0.4101223],"study_design_scores_gemma":[0.00005522899,0.001411926,0.5708996,0.002970479,0.0001193865,0.01039254,0.07307845,0.001245018,0.002072521,0.002005227,0.3356368,0.0001129251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166033,0.02663334,0.00076691,0.01019774,0.000475151,0.0000434897,0.0005852394,0.00003798267,0.04465671],"genre_scores_gemma":[0.9843873,0.007698865,0.0002780053,0.0009457017,0.0000772163,0.0000172816,0.0002003515,0.00000759576,0.006387759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02424028,"threshold_uncertainty_score":0.0481984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032897687681925,"score_gpt":0.2658849931666423,"score_spread":0.255556016289823,"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."}}