{"id":"W7099169674","doi":"","title":"Advance Access publication 30 May 2006 Macrolide resistance in Campylobacter jejuni and Campylobacter coli","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Campylobacter jejuni; Erythromycin; Antibiotic resistance; Shigella; Drug resistance; Macrolide Antibiotics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009259022,0.0004997677,0.0007624712,0.0009085732,0.000437061,0.001315781,0.0007489952,0.001822094,0.04341403],"category_scores_gemma":[0.001319512,0.000291424,0.0002878925,0.0005710465,0.000205455,0.0005156319,0.0005811179,0.001054176,0.01645327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007074212,"about_ca_system_score_gemma":0.0004646418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821591,"about_ca_topic_score_gemma":0.002235912,"domain_scores_codex":[0.9994835,0.00008056457,0.00003784375,0.00006918018,0.0001986692,0.0001302502],"domain_scores_gemma":[0.9995189,0.00007002023,0.00004887677,0.0000355658,0.0001864619,0.0001402243],"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":[0.005623809,0.001899281,0.01994099,0.004349018,0.0001896103,0.008433348,0.0004738412,0.0005247411,0.08946578,0.003062663,0.2743087,0.5917283],"study_design_scores_gemma":[0.0002813492,0.001374625,0.06123011,0.001018686,0.0001143216,0.006472237,0.0003369189,0.0005256726,0.01004338,0.0007601776,0.9177941,0.00004847359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1684342,0.4995708,0.003748098,0.02489844,0.03267815,0.0009695669,0.006045228,0.0005196136,0.2631358],"genre_scores_gemma":[0.4015013,0.2045782,0.003436443,0.006106902,0.008450747,0.0002479222,0.0121975,0.0002314702,0.3632496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04341403,"threshold_uncertainty_score":0.1452344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358492882784896,"score_gpt":0.2672295056589392,"score_spread":0.2436445768310902,"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."}}