{"id":"W2772702871","doi":"10.24870/cjb.2017-a276","title":"Genotyping of Tomato Cultivars and Hybrids using ddRAD","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genotyping; Hybrid; Cultivar; Biology; Genetics; Genotype; Horticulture; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005304554,0.0005246858,0.0006946407,0.001027269,0.0004632337,0.0004358962,0.0006503248,0.0006426968,0.002969697],"category_scores_gemma":[0.0006442656,0.0003818313,0.0007263366,0.0007218114,0.0002598433,0.0002525618,0.0005056153,0.0007164304,0.001619749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966247,"about_ca_system_score_gemma":0.0001886378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217611,"about_ca_topic_score_gemma":0.004072711,"domain_scores_codex":[0.999018,0.00007960793,0.00009564,0.0005451737,0.0001979229,0.00006367541],"domain_scores_gemma":[0.9996654,0.00006470569,0.00007755232,0.00007865867,0.00007615314,0.00003749284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007610064,0.0000322532,0.001206116,0.00008045668,0.00002876892,0.00007985119,0.0001000873,0.0001051714,0.9945191,0.00008695452,0.0001228025,0.003562414],"study_design_scores_gemma":[0.00007839871,0.0007065186,0.137089,0.00004953229,0.0003423108,0.001273138,0.0003116254,0.003889777,0.8215082,0.0004013396,0.03424547,0.0001047242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777798,0.001028922,0.07742096,0.0001407853,0.0001271394,0.0008471077,0.03393865,0.001639049,0.007077529],"genre_scores_gemma":[0.5723621,0.001219181,0.271564,0.0004808809,0.00003440168,0.001806022,0.1297049,0.001226894,0.02160167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002969697,"threshold_uncertainty_score":0.009934604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331582939118225,"score_gpt":0.2286460282164459,"score_spread":0.1954877343046234,"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."}}