{"id":"W4233848406","doi":"10.1039/c7ra90054f","title":"Correction: Engineering the microstructure of milk fat by blending binary and ternary mixtures of its fractions","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ternary operation; Microstructure; Binary number; Food science; Chemistry; Materials science; Chemical engineering; Mathematics; Computer science; Crystallography; Engineering; Arithmetic","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":[0.002158022,0.002458696,0.002139218,0.002571157,0.002422498,0.003281621,0.003435839,0.005381657,0.09478234],"category_scores_gemma":[0.02938206,0.001365459,0.001938496,0.002323186,0.002219889,0.003023912,0.00272637,0.006748767,0.05697084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002630132,"about_ca_system_score_gemma":0.004080257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005948948,"about_ca_topic_score_gemma":0.007699585,"domain_scores_codex":[0.9962709,0.000337413,0.0004789465,0.0005438774,0.001982808,0.0003861018],"domain_scores_gemma":[0.9860864,0.002097169,0.0008966904,0.001269334,0.008865737,0.0007847236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000603413,0.000006179874,0.00005451273,0.0003577414,0.00001666068,0.0002399311,0.0000245808,0.0001005,0.000840462,0.001465997,0.9847767,0.01205644],"study_design_scores_gemma":[0.00003319163,0.0000228365,0.000333816,0.0001385205,0.00001946141,0.0005245227,0.00003444025,0.000295147,0.002632326,0.00108791,0.9948469,0.00003091417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0004556826,0.002509323,0.003376662,0.0215175,0.9643635,0.0000406142,0.002289162,0.001357394,0.004090201],"genre_scores_gemma":[0.0553599,0.02726198,0.03435235,0.06032278,0.2284416,0.0006507418,0.01492209,0.008383622,0.570305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09478234,"threshold_uncertainty_score":0.3170785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007759351436194952,"score_gpt":0.2234216798178509,"score_spread":0.215662328381656,"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."}}