{"id":"W6981737151","doi":"","title":"Evaluation and differentiation of garlic cultivars growing in Québec using phenotypic and genotypic traits","year":2021,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"History of Medicine Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Genotype; Phenotype; Heritability; Genetic variation","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":[0.000432963,0.0003569092,0.0003700465,0.00110239,0.001453019,0.0009220853,0.0003978979,0.0004144895,0.001757566],"category_scores_gemma":[0.0005330083,0.0001469564,0.0003203502,0.001213313,0.0003676216,0.0002582279,0.0002785109,0.0004794181,0.0004532788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005393362,"about_ca_system_score_gemma":0.001914997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5920693,"about_ca_topic_score_gemma":0.8217795,"domain_scores_codex":[0.9996619,0.00004929678,0.00001459721,0.0001128466,0.00007052749,0.00009087002],"domain_scores_gemma":[0.9991753,0.0001695765,0.00006451306,0.00002652913,0.00045424,0.0001097702],"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":[0.0011208,0.0003256234,0.0852875,0.0001000073,0.00009043237,0.0006443976,0.003629439,0.0004541138,0.8781004,0.0002513218,0.0008610087,0.02913507],"study_design_scores_gemma":[0.00001639498,0.0002984624,0.9709563,0.00002060333,0.00004985286,0.0001332124,0.002025639,0.000633428,0.02176447,0.00003170884,0.004041888,0.00002797218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953308,0.0002821775,0.000745589,0.00008734842,0.000009624224,0.00004643821,0.0009289785,0.00003468746,0.002534457],"genre_scores_gemma":[0.9825355,0.0002750062,0.00259092,0.0001339919,0.000003460322,0.00005404983,0.0025434,0.00007355159,0.01179017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4079307,"threshold_uncertainty_score":0.8206662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08533793079862552,"score_gpt":0.3225221930183343,"score_spread":0.2371842622197088,"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."}}