{"id":"W4285079110","doi":"10.1007/978-1-0716-2237-7_6","title":"Preparation and Curation of Multiyear, Multilocation, Multitrait Datasets","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Data Analysis with R","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec","funders":"","keywords":"Genome-wide association study; Phenotype; Computer science; Computational biology; Biology; Data mining; Genotype; Genetics; Gene; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007826283,0.001275586,0.001927211,0.009414466,0.002200666,0.002432899,0.003140677,0.001583515,0.01166161],"category_scores_gemma":[0.03139114,0.001271644,0.002290842,0.008296414,0.0007689199,0.0013434,0.003175971,0.003242024,0.00846831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396081,"about_ca_system_score_gemma":0.009059603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247208,"about_ca_topic_score_gemma":0.04004281,"domain_scores_codex":[0.9942647,0.001040403,0.001035699,0.001667332,0.001150043,0.0008418284],"domain_scores_gemma":[0.9804271,0.004192224,0.001397256,0.00770602,0.005241635,0.001035719],"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":[0.002036013,0.001416506,0.1033206,0.006006485,0.001358384,0.001996791,0.002852433,0.030097,0.07950523,0.01693896,0.5328978,0.2215737],"study_design_scores_gemma":[0.0005945319,0.0003924016,0.1358197,0.0008390847,0.0008111302,0.001140369,0.001908933,0.02059443,0.03403533,0.01952836,0.7838391,0.0004965806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.03150339,0.0003668048,0.09928554,0.000396176,0.0003120908,0.002296422,0.8577269,0.00546931,0.002643397],"genre_scores_gemma":[0.03513748,0.0001840899,0.1653688,0.000221117,0.00007302618,0.006624799,0.7890836,0.001366057,0.00194096],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02247208,"threshold_uncertainty_score":0.04468256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503896752802154,"score_gpt":0.4265738108500253,"score_spread":0.4015348433220038,"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."}}