{"id":"W4407696088","doi":"10.1016/j.foodchem.2025.143466","title":"Effect of liquid nitrogen spray freezing conditions - temperature, sample volume and exposure depth - on the resulting temperature fluctuation, microstructure, and quality of large yellow croaker fish during frozen storage","year":2025,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Key Research and Development Program of Zhejiang Province; National Key Research and Development Program of China Stem Cell and Translational Research; Science and Technology Program of Zhejiang Province; National Key Research and Development Program of China","keywords":"Liquid nitrogen; Volume (thermodynamics); Congelation; Fish <Actinopterygii>; Nitrogen; Microstructure; Materials science; Chemistry; Fishery; Composite material; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002527211,0.0002029113,0.0001576469,0.00008568836,0.0001589839,0.000277536,0.0001266039,0.0001696809,0.0009492922],"category_scores_gemma":[0.0004765109,0.000173371,0.0001541306,0.00009458321,0.000403207,0.0002841403,0.0001652863,0.0002803341,0.0001013833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257914,"about_ca_system_score_gemma":0.000231376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231601,"about_ca_topic_score_gemma":0.004593499,"domain_scores_codex":[0.9999255,0.0000124843,0.000006586372,0.0000237181,0.00001490738,0.00001679512],"domain_scores_gemma":[0.999701,0.00009290055,0.00007152871,0.00002405975,0.00006152967,0.00004902832],"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":[0.001298992,0.00002372517,0.002565619,0.00002356563,0.00001068005,0.00004589465,0.00008570603,0.0000919132,0.9943868,0.00001232692,0.00001938288,0.001435465],"study_design_scores_gemma":[0.00002476863,0.001079554,0.09111074,0.000008235038,0.00005420342,0.0001625936,0.0001948618,0.001181822,0.9057788,0.00002840626,0.0003613976,0.00001469898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992342,0.0001303345,0.000395351,0.00001069108,0.0000050949,0.000006645661,0.00006320749,0.000008419992,0.0001460646],"genre_scores_gemma":[0.9985961,0.0001069366,0.0006774782,0.00001870095,0.000003523737,0.00000948491,0.0001160756,0.00001154877,0.0004601275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00231601,"threshold_uncertainty_score":0.004605055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314964677377112,"score_gpt":0.2483347753337219,"score_spread":0.2351851285599507,"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."}}