{"id":"W4391876360","doi":"10.1063/5.0194144","title":"On the clustering of triacylglycerols in the molten state","year":2024,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Guelph; St. Francis Xavier University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; U.S. Department of Commerce","keywords":"Physics; Cluster analysis; State (computer science); Statistical physics; Thermodynamics; Mechanics; Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001961311,0.00004943222,0.00008647505,0.000002639057,0.00002460165,0.00001812583,0.0002165015,0.00001423081,0.00003921271],"category_scores_gemma":[0.00001426091,0.00001205429,0.00009365629,0.0003064574,0.00003925625,0.00003024362,0.00002543417,0.00006975052,0.000003688169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000345631,"about_ca_system_score_gemma":0.000002327546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007998897,"about_ca_topic_score_gemma":0.00001765996,"domain_scores_codex":[0.9995787,0.00003110791,0.0001152168,0.00007934884,0.0001245761,0.00007109062],"domain_scores_gemma":[0.999545,0.0003611382,0.00002058987,0.00005240063,0.00001330169,0.000007598288],"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":[0.00004572769,0.00008732487,0.0001225101,0.00003176101,0.00004695708,0.00000190397,0.000839234,0.0004076921,0.9590866,0.004839381,0.0004623396,0.03402858],"study_design_scores_gemma":[0.0003654278,0.0009955132,0.008932849,0.0003999691,0.0001388224,0.00000237208,0.002774677,0.0447483,0.7874219,0.1499706,0.003812337,0.0004371817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956185,0.0001065106,0.00001057221,0.00130262,0.00001883405,0.00004553152,0.00002067505,0.000006053261,0.002870737],"genre_scores_gemma":[0.9997891,0.00002385036,0.000004016179,0.00005728231,0.00006287303,0.000004688908,0.000005866304,3.07353e-7,0.0000520843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716647,"threshold_uncertainty_score":0.04915595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766361475102564,"score_gpt":0.2371463759534719,"score_spread":0.2094827612024463,"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."}}