{"id":"W1994830981","doi":"10.2135/cropsci2006.09.0611","title":"Mixed‐Model Analysis of Crossover Genotype–Environment Interactions","year":2007,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Centers for Disease Control and Prevention","keywords":"Biology; Crossover; Genotype; Gene–environment interaction; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01084468,0.001342537,0.001924387,0.001333117,0.0005890342,0.0013076,0.00192765,0.0006717197,0.003795033],"category_scores_gemma":[0.01350953,0.0004827213,0.0025235,0.0009494636,0.00050022,0.001009934,0.001194587,0.001417245,0.0005194843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007546727,"about_ca_system_score_gemma":0.001072074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004179243,"about_ca_topic_score_gemma":0.004280992,"domain_scores_codex":[0.9942871,0.004114271,0.0001252765,0.000776823,0.0004260753,0.0002704288],"domain_scores_gemma":[0.9858898,0.01181171,0.0005706863,0.0009016506,0.0005388401,0.0002872411],"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":[0.006131652,0.001621981,0.1019799,0.0007374909,0.01048055,0.001444082,0.00102923,0.4796244,0.02557555,0.1084931,0.005241804,0.2576403],"study_design_scores_gemma":[0.0001212495,0.0006258276,0.01025777,0.00001315384,0.000311009,0.0001521622,0.00006290676,0.9700931,0.002211319,0.01445871,0.001627932,0.00006477959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1694346,0.0003276661,0.8273975,0.0001546823,0.0001039401,0.0001391564,0.0007121712,0.0008335047,0.0008968607],"genre_scores_gemma":[0.7643729,0.0002159265,0.2276516,0.0001279864,0.00008995053,0.0008725412,0.002065213,0.000340417,0.004263343],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01084468,"threshold_uncertainty_score":0.05735284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267557188734579,"score_gpt":0.2462813349852606,"score_spread":0.1936057630979148,"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."}}