{"id":"W4232784656","doi":"10.3410/f.1203970.5100063","title":"Faculty Opinions recommendation of High-throughput screen for novel antimicrobials using a whole animal infection model.","year":2010,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Throughput; Antimicrobial; Animal model; Computer science; Computational biology; Medicine; Biology; Internal medicine; Microbiology; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802629,0.002732327,0.002117463,0.003273024,0.0006069368,0.002353925,0.003180182,0.00322663,0.06284812],"category_scores_gemma":[0.00871381,0.0008350585,0.002086212,0.003760739,0.0003182276,0.001415021,0.001391006,0.001772272,0.05950015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471588,"about_ca_system_score_gemma":0.003201311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01747941,"about_ca_topic_score_gemma":0.04555333,"domain_scores_codex":[0.9987738,0.0001662405,0.0001393963,0.0003445133,0.000436499,0.0001395293],"domain_scores_gemma":[0.9960938,0.001206129,0.0004560316,0.0008034125,0.0009354208,0.0005052381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002660475,0.00007351417,0.002015101,0.001841847,0.0001456493,0.00003383811,0.000009084885,0.0004499814,0.0005730093,0.0001890183,0.9886341,0.005768851],"study_design_scores_gemma":[0.001153258,0.0001214211,0.01361016,0.0006772344,0.0003996221,0.00013629,0.00003822297,0.00264096,0.002672342,0.001415419,0.9770563,0.0000788442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002421427,0.0001363681,0.0001178931,0.000107892,0.00003203013,0.00002674169,0.9980399,0.0005700165,0.0007269478],"genre_scores_gemma":[0.0006630575,0.00012211,0.0005852751,0.0001056845,0.000009953889,0.00006631394,0.9976192,0.00006176554,0.0007666604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06284812,"threshold_uncertainty_score":0.2102479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05587813504356565,"score_gpt":0.3729649592483739,"score_spread":0.3170868242048082,"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."}}