{"id":"W7162082486","doi":"10.82308/27712","title":"Evaluation and differentiation of garlic cultivars growing in Québec using phenotypic and genotypic traits","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Garlic and Onion Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Allium sativum; Genotype; Microsatellite; Yield (engineering); Phenotype","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":[0.0003705376,0.0004130209,0.0003113137,0.001060758,0.001328832,0.0006100787,0.0004482993,0.0002824978,0.001482149],"category_scores_gemma":[0.0004498012,0.0001357295,0.0002594181,0.0009954732,0.0003555999,0.0002429596,0.0002528867,0.0003218355,0.0002289932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00663506,"about_ca_system_score_gemma":0.002216124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8688056,"about_ca_topic_score_gemma":0.9553268,"domain_scores_codex":[0.9996914,0.00003488618,0.00001341595,0.0001198888,0.00007556492,0.0000648379],"domain_scores_gemma":[0.9994171,0.00009187535,0.00006783488,0.00002828075,0.0003137389,0.00008134226],"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":[0.001051228,0.0004829323,0.2624874,0.0001659838,0.0001819697,0.001036432,0.002415186,0.0012564,0.6694096,0.0002512818,0.001093432,0.06016822],"study_design_scores_gemma":[0.00001576097,0.0002207099,0.984102,0.00001166699,0.00004315341,0.0001682374,0.0007222699,0.00143505,0.01039493,0.00001385644,0.002848412,0.00002401954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964888,0.0001826876,0.000747085,0.0000348823,0.000004039738,0.0000508042,0.001126877,0.00002579522,0.001339143],"genre_scores_gemma":[0.9882488,0.0001862558,0.00277498,0.00008016288,0.000002154496,0.00004767723,0.003311884,0.00002870608,0.00531946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1311944,"threshold_uncertainty_score":0.2639339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039892196001567,"score_gpt":0.2756571029459268,"score_spread":0.2357649069443598,"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."}}