{"id":"W2619761403","doi":"","title":"Bacteriophage-based Dipstick: Inkjet Printing of Bacteriophages to Detect Different Foodborne Pathogens","year":2017,"lang":"en","type":"article","venue":"IAFP 2017","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Dipstick; Bacteriophage; Inkjet printing; Virology; Biology; Microbiology; Computer science; Genetics; Escherichia coli; Inkwell","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001736184,0.0002802093,0.0003558557,0.00006182953,0.0005619896,0.0002377816,0.0008392782,0.0001010697,0.002392001],"category_scores_gemma":[0.0002070425,0.0002467887,0.0001812872,0.00005281044,0.0002274327,0.0003360933,0.0006383625,0.0001832311,0.0006426265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074961,"about_ca_system_score_gemma":0.0000169807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004655533,"about_ca_topic_score_gemma":0.0006236062,"domain_scores_codex":[0.9984547,0.00005112745,0.0003803213,0.0004717771,0.0001945138,0.0004475137],"domain_scores_gemma":[0.9980522,0.00005772034,0.0004108187,0.001226998,0.0000255256,0.0002267523],"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":[0.0000451895,0.00007965814,0.005655005,0.00002238299,0.00001805382,0.00004792647,0.0001447113,0.00002640152,0.9658583,0.000004374242,0.0003903908,0.02770755],"study_design_scores_gemma":[0.0003286196,0.0001358924,0.7567272,0.00007891829,0.00002997714,0.00002078779,0.00001179401,0.00006373559,0.2372447,0.00001597055,0.005111845,0.0002306031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936574,0.00001273699,0.001130821,0.0003438395,0.0006047803,0.0003437873,0.000108302,0.00004789946,0.003750463],"genre_scores_gemma":[0.9954906,0.000009097616,0.003023796,0.0001561634,0.0001008541,0.00003101883,0.00001074143,0.00003421067,0.001143535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7510722,"threshold_uncertainty_score":0.9999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195642444307989,"score_gpt":0.2662465749694917,"score_spread":0.2466823305386928,"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."}}