{"id":"W1969156154","doi":"10.2134/agronj2013.0295","title":"Evaluation of Wheat Cultivars to Test Indirect Selection for Organic Conditions","year":2014,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"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":"Cultivar; Organic farming; Agronomy; Yield (engineering); Selection (genetic algorithm); Trait; Biology; Plant breeding; Environmental science; Agriculture; Ecology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0009874086,0.00004856397,0.00007395306,0.00001582323,0.0001954183,0.00003901583,0.00006810634,0.000031274,0.0004454561],"category_scores_gemma":[0.0001987291,0.00002037166,0.00004148996,0.0001190281,0.000005358801,0.00004883034,0.000007830061,0.00004747049,0.00000869938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003072553,"about_ca_system_score_gemma":0.00001608749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001684278,"about_ca_topic_score_gemma":0.000271353,"domain_scores_codex":[0.9994552,0.00005438801,0.00013441,0.00007763694,0.0001700992,0.0001082598],"domain_scores_gemma":[0.9993408,0.0001877036,0.00008112282,0.0000117384,0.0003129169,0.00006570993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004590615,0.0000436026,0.02082622,0.000001345843,0.0000153698,1.994614e-8,0.0000618444,0.0001239629,0.8048194,0.00003175544,0.002228172,0.1718437],"study_design_scores_gemma":[0.0005346409,0.001699071,0.7895147,0.00007399102,0.0002040768,0.0001002088,0.0003202735,0.004328005,0.1612501,0.003735234,0.03797338,0.000266333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983582,0.00001945627,0.0002058811,0.0005286355,0.00008770976,0.0001572808,0.00001502426,0.000005651551,0.0006221429],"genre_scores_gemma":[0.9990158,0.000004454564,0.0004971154,0.000042197,0.0003695661,0.0000090756,0.00001942959,4.729833e-7,0.00004187819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7686885,"threshold_uncertainty_score":0.4877432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615419953866511,"score_gpt":0.2542194196660033,"score_spread":0.2080652201273382,"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."}}