{"id":"W3016509734","doi":"10.2134/csa2016-61-7-1","title":"G×E: Bringing genotype by environment interactions to the fore to tackle the formidable challenges ahead","year":2016,"lang":"en","type":"article","venue":"CSA News","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genotype; Computer science; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02594724,0.002093655,0.002764934,0.00179283,0.002642715,0.008683925,0.004082298,0.01033549,0.01554633],"category_scores_gemma":[0.03871608,0.001064571,0.002067388,0.00185184,0.009684516,0.01918897,0.005562946,0.02507962,0.006086216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352264,"about_ca_system_score_gemma":0.0059632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417978,"about_ca_topic_score_gemma":0.007545559,"domain_scores_codex":[0.9919679,0.003946962,0.0003318706,0.001176715,0.001856423,0.0007201778],"domain_scores_gemma":[0.92524,0.05430462,0.002535912,0.003721063,0.008101369,0.006096985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002149214,0.0001124,0.002843356,0.0009339231,0.0002389524,0.0005514263,0.001279838,0.0006427871,0.001613841,0.02458689,0.7824082,0.1845734],"study_design_scores_gemma":[0.00004708264,0.0001063055,0.002451547,0.000525645,0.0001050609,0.000416557,0.001211995,0.0006422574,0.0003140662,0.06487264,0.9292107,0.00009616892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003509714,0.05061676,0.03067818,0.7500148,0.1536466,0.0000753024,0.0003140809,0.001919222,0.009225255],"genre_scores_gemma":[0.02479555,0.05233471,0.03743959,0.6052665,0.2555152,0.0002212349,0.000426326,0.002032951,0.02196787],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02594724,"threshold_uncertainty_score":0.1372238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090410290191288,"score_gpt":0.2075550979530282,"score_spread":0.1666509950511153,"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."}}