{"id":"W3042615076","doi":"10.1002/csc2.20268","title":"Testing for nonlinear genotype × environment interactions","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Function (biology); Nonlinear regression; Crossover; Hordeum vulgare; Nonlinear system; Range (aeronautics); Gene–environment interaction; Intersection (aeronautics); Statistics; Genotype; Mathematics; Regression analysis; Genetics; Ecology; Physics; Computer science; Poaceae","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":[0.01082375,0.0009331591,0.001224419,0.001830736,0.0006436813,0.001097477,0.001640307,0.0007243013,0.004484262],"category_scores_gemma":[0.02287178,0.0003468296,0.001937374,0.001632833,0.00137376,0.00142328,0.00160144,0.002029416,0.00044933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007707583,"about_ca_system_score_gemma":0.0009358551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879306,"about_ca_topic_score_gemma":0.001606817,"domain_scores_codex":[0.9786578,0.01161576,0.001069629,0.00471819,0.00313542,0.0008033051],"domain_scores_gemma":[0.9424475,0.04827626,0.002454356,0.004455945,0.001517597,0.0008483166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006591444,0.002210872,0.6441813,0.0004510319,0.00601033,0.001589878,0.001122385,0.03693507,0.197359,0.009497755,0.001634061,0.09241679],"study_design_scores_gemma":[0.0001343213,0.005389138,0.6375194,0.00002860613,0.0006482209,0.0007590643,0.0008408496,0.3165485,0.02734037,0.007893234,0.002735571,0.000162721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073212,0.00006662825,0.08877752,0.0001034971,0.0000256533,0.0001237435,0.001182035,0.000416473,0.001983404],"genre_scores_gemma":[0.9773398,0.00001925205,0.02084344,0.00005441141,0.00001060307,0.0002366941,0.0007729115,0.0001028905,0.0006200467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082375,"threshold_uncertainty_score":0.05724216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09809233661928929,"score_gpt":0.2423704774134081,"score_spread":0.1442781407941188,"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."}}