{"id":"W1993111295","doi":"10.1111/j.1745-4581.2005.00019.x","title":"DETECTION OF <i>LISTERIA</i> SP. IN MEAT AND MEAT PRODUCTS USING TECRA <i>LISTERIA</i> VISUAL IMMUNOASSAY AND BIOCONTROL VISUAL IMMUNOPRECIPITATE ASSAY FOR <i>LISTERIA</i> IMMUNOASSAYS AND A CULTURAL PROCEDURE","year":2005,"lang":"en","type":"article","venue":"Journal of Rapid Methods & Automation in Microbiology","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listeria; Listeria monocytogenes; Immunoassay; Food science; Visual inspection; Detection limit; Biology; Chromatography; Chemistry; Computer science; Bacteria; Artificial intelligence; Antibody","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":[0.001938071,0.000544599,0.0003516419,0.001104144,0.000183163,0.0004865092,0.0004270466,0.0005508358,0.0006357545],"category_scores_gemma":[0.003347595,0.0004345228,0.0003129686,0.000401266,0.0004462852,0.0003090014,0.0005897622,0.0002835139,0.0003316939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392371,"about_ca_system_score_gemma":0.00018201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008787827,"about_ca_topic_score_gemma":0.001092504,"domain_scores_codex":[0.9970279,0.001042393,0.0002902348,0.0005226299,0.0009286804,0.0001881202],"domain_scores_gemma":[0.9969337,0.001123605,0.0007610996,0.0002031685,0.0008347779,0.0001436781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001201193,0.0001925086,0.1223987,0.0002608716,0.0001163164,0.0001558312,0.0003966638,0.0002515783,0.8513477,0.0001275563,0.0001744142,0.02337663],"study_design_scores_gemma":[0.0001079409,0.004187996,0.3103109,0.00008413463,0.0002301293,0.002852841,0.0006277539,0.005042894,0.6745964,0.000113623,0.001782999,0.00006245937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9883186,0.0008710242,0.009357207,0.00002452702,0.0000255571,0.00004582683,0.0001154292,0.00007551491,0.001166385],"genre_scores_gemma":[0.9803975,0.0003649812,0.01820252,0.00005005594,0.00001128756,0.00004512793,0.0003344484,0.00001257856,0.0005814498],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001938071,"threshold_uncertainty_score":0.01024961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066432571614473,"score_gpt":0.3555109312306751,"score_spread":0.3248466055145304,"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."}}