{"id":"W2944408885","doi":"","title":"Meat Spoilage Sensing Devices","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Food spoilage; Computer science; Environmental science; Food science; Biology; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0001456326,0.0002819991,0.0001457865,0.0002217527,0.0001421563,0.0003167931,0.0006561643,0.0005245841,0.001520016],"category_scores_gemma":[0.0002629686,0.000193306,0.0001314138,0.0001622033,0.0001660385,0.0003558619,0.0002043334,0.0002595165,0.0007811885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802131,"about_ca_system_score_gemma":0.00008487463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003011775,"about_ca_topic_score_gemma":0.0005587132,"domain_scores_codex":[0.9998289,0.00001022721,0.000007866242,0.00006009442,0.00007512871,0.00001778407],"domain_scores_gemma":[0.9998826,0.00002635841,0.0000279521,0.00001307846,0.00004087655,0.000009032715],"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":[0.00006704449,0.00001199433,0.0003871473,0.00009982002,0.000006911387,0.00009841576,0.00003059479,0.00007981878,0.9867498,0.0003684107,0.000487419,0.01161255],"study_design_scores_gemma":[0.000005727239,0.0001179653,0.002319001,0.00001110948,0.00001205757,0.0003035582,0.00004209738,0.001732744,0.9848546,0.0001240507,0.01046843,0.000008582377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411694,0.01092924,0.1145096,0.001146862,0.0009643818,0.0001602687,0.00176993,0.002136076,0.02721427],"genre_scores_gemma":[0.9356447,0.001972453,0.04499179,0.000383499,0.00008768076,0.00006021637,0.0004098823,0.00004459224,0.01640515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001520016,"threshold_uncertainty_score":0.005084932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057024357824872,"score_gpt":0.2205121594400266,"score_spread":0.2099419158617778,"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."}}