{"id":"W2057892004","doi":"10.4141/cjps08400","title":"Why is MIXED analysis underutilized","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004341647,0.00007121557,0.0001581753,0.0001526523,0.0005409799,0.00008112316,0.0005074356,0.00003403921,0.0004548693],"category_scores_gemma":[0.000062305,0.00002807654,0.000106121,0.001526255,0.0002319157,0.0001253952,0.00001100964,0.0000930965,0.000007373123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003846338,"about_ca_system_score_gemma":0.0002627338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0102224,"about_ca_topic_score_gemma":0.1094946,"domain_scores_codex":[0.999022,0.00001803137,0.0001992517,0.0001339033,0.0003059633,0.0003208701],"domain_scores_gemma":[0.9989534,0.00006744664,0.0001285271,0.00003572958,0.0001500217,0.0006648701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003017503,0.00003386269,0.5555968,0.000004087867,0.0001959936,0.001133924,0.001463824,0.0003435605,0.3203617,0.0004940305,0.1120061,0.008335946],"study_design_scores_gemma":[0.0001190127,0.0001690278,0.840744,0.00001809207,0.00008703071,0.0009963288,0.0003541224,0.0007716449,0.005270864,0.0002217226,0.1510312,0.0002168756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971117,0.0001604593,0.0000168496,0.001633026,0.0002449039,0.00002480297,0.0001983713,0.000002486392,0.0006073336],"genre_scores_gemma":[0.9987947,0.00004781603,0.0001396195,0.0008684602,0.00008480375,1.399087e-7,0.000006440212,2.373992e-7,0.00005772763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3150909,"threshold_uncertainty_score":0.9963686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05159160790573589,"score_gpt":0.1945034616097336,"score_spread":0.1429118537039977,"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."}}