{"id":"W2317114559","doi":"","title":"Canada Geese as Possible Vectors of Antimicrobial-resistant Bacteria","year":2013,"lang":"en","type":"article","venue":"2013 Annual Meeting (July 28 - 31, 2013)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Antimicrobial; Bacteria; Biology; Business; Microbiology; Genetics","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":[0.0006517926,0.000370803,0.0002483302,0.0006499432,0.000745177,0.00139001,0.0005918652,0.0006428114,0.001962167],"category_scores_gemma":[0.0006717204,0.0002038349,0.0002442412,0.0003850548,0.0003588928,0.0004915649,0.0006233693,0.0007740769,0.0004354844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002233402,"about_ca_system_score_gemma":0.001918345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1396639,"about_ca_topic_score_gemma":0.3919939,"domain_scores_codex":[0.9991207,0.0001596319,0.000035931,0.0001235327,0.0003651546,0.0001949873],"domain_scores_gemma":[0.9995949,0.00006266099,0.00006871155,0.00003511314,0.0001481449,0.00009049759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006127252,0.0002317667,0.01352519,0.0002526024,0.0000798099,0.0007170605,0.0006755943,0.0003122813,0.9330653,0.006042262,0.003427369,0.04105785],"study_design_scores_gemma":[0.0001904482,0.003000047,0.1231431,0.0003264163,0.0004386973,0.005273506,0.003462172,0.006060487,0.6484848,0.001664779,0.2077716,0.0001838643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459094,0.01255923,0.01463118,0.0009486265,0.0004182415,0.0008574547,0.00175814,0.0004068239,0.02251083],"genre_scores_gemma":[0.9023842,0.006879946,0.03233378,0.0005362984,0.0000343758,0.0003208971,0.002285661,0.00011634,0.05510844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8603361,"threshold_uncertainty_score":0.2777019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007329077989716649,"score_gpt":0.2275878715656921,"score_spread":0.2202587935759755,"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."}}