{"id":"W4211091830","doi":"10.1002/047167849x.bio008.pub2","title":"Fat Crystal Networks","year":2020,"lang":"en","type":"other","venue":"Bailey's Industrial Oil and Fat Products","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Crystallization; Context (archaeology); Rheology; Scholarship; Crystal (programming language); Microstructure; Subject (documents); Materials science; Length scale; Phase (matter); Crystallography; Physics; Thermodynamics; Computer science; Chemistry; Mechanics; Geography; Library science; Political science; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009754915,0.0004271685,0.0005615756,0.00001925617,0.0001446751,0.0001353283,0.0003408303,0.000878631,0.002271568],"category_scores_gemma":[0.0001263639,0.0001805956,0.0001386289,0.0005730537,0.0001427223,0.00005368726,0.0001835787,0.000598855,0.00004234049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001452781,"about_ca_system_score_gemma":0.00001361281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924325,"about_ca_topic_score_gemma":0.0001271726,"domain_scores_codex":[0.9981146,0.00006916433,0.0002922301,0.0008505252,0.0002696364,0.0004038636],"domain_scores_gemma":[0.9993128,0.00004934971,0.0002320209,0.0001322607,0.0000331686,0.0002403853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005801773,0.00004594649,0.00008647816,0.00003165993,0.0001221172,0.00002258614,0.00001286724,0.000001380271,0.00979089,0.00002471919,0.7785485,0.2112549],"study_design_scores_gemma":[0.0002743595,0.0001318816,0.00002064868,0.0001152137,0.0001277171,0.000005568331,0.00006926833,0.00001086056,0.00108691,0.00001173776,0.9976715,0.0004743457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009797293,0.01142561,0.000001848996,0.01393836,0.002822031,0.000386723,0.0008427685,0.0009561479,0.9598292],"genre_scores_gemma":[0.06193138,0.002364645,0.00005555583,0.0004337732,0.04255876,0.00003303489,0.001534514,0.00003838414,0.89105],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.219123,"threshold_uncertainty_score":0.9986405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294163678733581,"score_gpt":0.1996150944059208,"score_spread":0.166673457618585,"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."}}