{"id":"W6931591577","doi":"10.5683/sp3/gayk15","title":"Hybrid Maize Trials 2007 to 2008 [Alma, Elora, and Waterloo, Ontario, Canada]: Bioinformatics and Quantitative Genetics","year":2013,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Inbred strain; Hybrid; Quantitative trait locus; Selection (genetic algorithm); Quantitative genetics; Adaptation (eye); Genetic variation; Recombinant DNA","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001300297,0.001514519,0.001170022,0.00220052,0.001173361,0.00100763,0.003165449,0.0007830716,0.01247773],"category_scores_gemma":[0.003252051,0.0005627177,0.0009025661,0.005517104,0.0004246044,0.0004263788,0.0009396067,0.000817936,0.007303856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005490589,"about_ca_system_score_gemma":0.008547228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7916973,"about_ca_topic_score_gemma":0.9155375,"domain_scores_codex":[0.9993314,0.00007347134,0.00005306689,0.0001749447,0.0002381355,0.0001291357],"domain_scores_gemma":[0.997433,0.0002698154,0.000318141,0.0004003891,0.001273133,0.000305565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005470703,0.0000528393,0.02460217,0.001415836,0.0004305346,0.0001166637,0.0001643526,0.001006041,0.0008263726,0.001063527,0.9632251,0.006549477],"study_design_scores_gemma":[0.0009808237,0.00005108257,0.1326915,0.0004994904,0.0003219666,0.00009578978,0.000246534,0.001132369,0.001236246,0.0008689479,0.8617823,0.0000930009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001511969,0.0001067265,0.0001331275,0.00003824343,0.000007413609,0.00001897769,0.9973616,0.0001430225,0.0006789137],"genre_scores_gemma":[0.002398869,0.00006285018,0.0004241823,0.00002057398,0.000002612696,0.00007130863,0.9963554,0.00003562888,0.0006286068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2083027,"threshold_uncertainty_score":0.4190588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169844543514503,"score_gpt":0.280873730373718,"score_spread":0.239175284938573,"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."}}