{"id":"W7056130779","doi":"","title":"An economic analysis of «Salmonella» detection in fresh produce, poultry, and eggs using whole genome sequencing technology in Canada","year":2018,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Quality (philosophy); Productivity; Economic cost; Economic analysis; Economic indicator","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":[0.001091893,0.0006675823,0.0005524455,0.001809825,0.001378761,0.002309601,0.0009629375,0.0005956071,0.001903675],"category_scores_gemma":[0.002955946,0.0003954547,0.001535726,0.002833636,0.0007507192,0.0006328754,0.0007186907,0.0008678074,0.00009377406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07732423,"about_ca_system_score_gemma":0.03484911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858603,"about_ca_topic_score_gemma":0.9787415,"domain_scores_codex":[0.9989616,0.000144767,0.0000306134,0.00008471293,0.000357472,0.0004208368],"domain_scores_gemma":[0.9984676,0.0004986361,0.0001408994,0.00003388701,0.000659167,0.0001996759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001967857,0.0005771402,0.232431,0.0009264035,0.0008534738,0.001808442,0.0003650158,0.685818,0.003831343,0.02001415,0.008340781,0.04306646],"study_design_scores_gemma":[0.0002012527,0.0006191871,0.363313,0.0001736566,0.0008740483,0.0004037738,0.002658702,0.6152039,0.002457327,0.0029234,0.01097977,0.0001919662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760993,0.002274503,0.001820289,0.001319351,0.00002914765,0.0002571274,0.005429889,0.0000307492,0.01273971],"genre_scores_gemma":[0.9921267,0.001221393,0.001441413,0.00009867555,0.000006336141,0.00003045042,0.001771365,0.000008095828,0.003295532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07732423,"threshold_uncertainty_score":0.5610292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577157340690315,"score_gpt":0.2280660894921926,"score_spread":0.2122945160852895,"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."}}