{"id":"W3135898671","doi":"10.1016/j.fpsl.2021.100634","title":"Recent developments in colorimetric and optical indicators stimulated by volatile base nitrogen to monitor seafood freshness","year":2021,"lang":"en","type":"article","venue":"Food Packaging and Shelf Life","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Hebei Agricultural University; Department of Education of Hebei Province","keywords":"Food spoilage; Context (archaeology); Environmental science; Performance indicator; Food science; Biochemical engineering; Pulp and paper industry; Computer science; Process engineering; Chemistry; Business; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00004882658,0.0001845659,0.0002474295,0.0002282208,0.00004985547,0.0000424194,0.00008973329,0.0001458585,0.00000936034],"category_scores_gemma":[0.0004588659,0.0001949205,0.00001387652,0.001036844,0.00003656545,0.0000692114,0.0001191926,0.0002592761,0.000005329374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008830605,"about_ca_system_score_gemma":0.00001242468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002435941,"about_ca_topic_score_gemma":0.000003254595,"domain_scores_codex":[0.9989491,0.00001668151,0.0002344449,0.0003005876,0.0001535358,0.0003456323],"domain_scores_gemma":[0.9994291,0.0001230216,0.00001859922,0.0001524844,0.00003093995,0.0002458384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001450318,0.0003887677,0.4777535,0.0004808042,0.0005889064,0.0002180273,0.001498032,0.005695205,0.3035166,0.0001712747,0.005890317,0.2036536],"study_design_scores_gemma":[0.001139765,0.0001145168,0.01154981,0.00008890546,0.00002420947,0.00001099971,0.0005028504,0.002358214,0.9752646,0.000280128,0.00808857,0.0005774443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957282,0.003063004,0.000258173,0.0002046872,0.00008933754,0.0001400023,0.00003382373,0.0003312459,0.0001515561],"genre_scores_gemma":[0.9952451,0.0002829155,0.004278953,0.00008821217,0.00001796335,0.00002234685,0.00002222037,0.00003188862,0.00001038805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.671748,"threshold_uncertainty_score":0.7948626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009928561614316954,"score_gpt":0.2194612870952495,"score_spread":0.2095327254809325,"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."}}