{"id":"W2331231306","doi":"10.1021/jf201979a","title":"In Silico Homology Modeling To Predict Functional Properties of Cruciferin","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Homology modeling; In silico; Brassicaceae; Computational biology; Gene isoform; Homology (biology); Biology; Biochemistry; Chemistry; Arabidopsis; Enzyme; Amino acid; Gene; Botany","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":[0.000474405,0.0008210068,0.0007693982,0.0006088066,0.0005272467,0.0006400574,0.0006883239,0.0007770379,0.002698411],"category_scores_gemma":[0.0008205379,0.0004318896,0.0007229346,0.0004625899,0.0002097351,0.0003490713,0.0002659509,0.0005167252,0.0005729137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008805026,"about_ca_system_score_gemma":0.0008321096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004515576,"about_ca_topic_score_gemma":0.004554805,"domain_scores_codex":[0.9998465,0.00006156903,0.000009022798,0.00002848545,0.00003215198,0.00002221174],"domain_scores_gemma":[0.9996692,0.0002283946,0.00002470676,0.00001700302,0.00003817989,0.00002264009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000413746,0.0002420248,0.003990427,0.0001555371,0.0001128296,0.0002700764,0.00009015518,0.9527683,0.02838731,0.002864306,0.0006349431,0.01007044],"study_design_scores_gemma":[0.00002225853,0.00004017766,0.0002988863,0.000003138198,0.000009435011,0.00002251346,0.00001693041,0.9961202,0.002768853,0.0003865859,0.0003079578,0.000003188195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199952,0.000361039,0.07232147,0.0001739528,0.00002349979,0.00009430793,0.001139941,0.001332317,0.004558405],"genre_scores_gemma":[0.9600767,0.0002146438,0.03604746,0.00002458355,0.00000718662,0.0001234035,0.00208843,0.0001592609,0.001258266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004515576,"threshold_uncertainty_score":0.009027123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078820082107005,"score_gpt":0.1912137580877555,"score_spread":0.1604255572666854,"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."}}