{"id":"W2105544520","doi":"10.1007/s11746-006-1216-9","title":"Microstructure and fractal analysis of fat crystal networks","year":2006,"lang":"en","type":"article","venue":"Journal of the American Oil Chemists Society","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Fractal dimension; Fractal; Microstructure; Materials science; Crystal (programming language); Rheology; Fractal analysis; Biological system; Mathematics; Composite material; Computer science; Mathematical analysis","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":[0.0001315726,0.0001110128,0.0003898304,0.000005418181,0.0001067457,0.0000285034,0.0002757004,0.00006155083,0.00003352448],"category_scores_gemma":[0.00001841727,0.00003816292,0.0008710467,0.0009517987,0.0003552447,0.00004321771,0.00006612824,0.0002173793,3.652974e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002686356,"about_ca_system_score_gemma":0.000006281551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001918477,"about_ca_topic_score_gemma":0.00003413771,"domain_scores_codex":[0.9991871,0.00002270843,0.0003083801,0.0001168108,0.0002209651,0.0001441094],"domain_scores_gemma":[0.9988126,0.00009750904,0.0008565012,0.00006353008,0.0001157041,0.00005418423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002436721,0.00003520138,0.03242783,0.000005986171,0.0005901338,8.793015e-7,0.00005523082,0.0004737412,0.9611909,9.539508e-7,0.001248165,0.003946561],"study_design_scores_gemma":[0.0004434855,0.0001978975,0.72745,0.00005523281,0.004165095,0.0001013737,0.003538503,0.003238756,0.2553996,0.0001366127,0.00473804,0.0005353343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989074,0.0003997626,0.00000476681,0.0004380377,0.00001767873,0.000006386221,0.00002274417,0.000003677538,0.0001995861],"genre_scores_gemma":[0.9990721,0.0001507485,0.0001353797,0.0001459502,0.0003040617,2.324458e-7,0.00001020798,7.581968e-7,0.0001805337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7057913,"threshold_uncertainty_score":0.1556239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003321607649323426,"score_gpt":0.1864937641229078,"score_spread":0.1831721564735844,"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."}}