{"id":"W2799137352","doi":"10.1145/3194658.3194669","title":"ADAM Genomics Schema - Extension for Precision Medicine Research*","year":2018,"lang":"en","type":"article","venue":"","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Genomics; Precision medicine; Computer science; Schema (genetic algorithms); Data science; Genomic medicine; Computational biology; Information retrieval; Genome; Genetics; Biology","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":[0.009785835,0.001126285,0.0007137879,0.002224645,0.0007332898,0.003913394,0.002578146,0.001369652,0.01758714],"category_scores_gemma":[0.01604701,0.001188817,0.002088504,0.002287298,0.0008948687,0.006778853,0.004533917,0.002724201,0.009981685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851058,"about_ca_system_score_gemma":0.002522934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002774181,"about_ca_topic_score_gemma":0.00185166,"domain_scores_codex":[0.9944816,0.001391554,0.001319775,0.001023652,0.00154368,0.0002396969],"domain_scores_gemma":[0.9872809,0.004501457,0.0008567862,0.004405441,0.00261486,0.000340436],"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":[0.00165349,0.0003312414,0.01176163,0.001918663,0.0002721744,0.002466626,0.0025201,0.01622704,0.01921639,0.3211143,0.3226096,0.2999088],"study_design_scores_gemma":[0.0001061239,0.00007022285,0.00107078,0.0002861118,0.00006992967,0.001316142,0.0002090374,0.0211154,0.02015565,0.04113543,0.9143847,0.00008047773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00701029,0.000537299,0.8536981,0.002389917,0.0006607316,0.0008360725,0.03828238,0.0797904,0.01679479],"genre_scores_gemma":[0.0623505,0.001086018,0.8131669,0.002196152,0.0002686778,0.001222371,0.09718103,0.01225039,0.01027797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01758714,"threshold_uncertainty_score":0.05883479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07098278539756214,"score_gpt":0.3876626903069838,"score_spread":0.3166799049094217,"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."}}