{"id":"W2015503410","doi":"10.1038/nmeth.2049","title":"Managing deep data in genome browsers","year":2012,"lang":"en","type":"article","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Michael Smith Health Research BC; Research Canada; Canadian Institutes of Health Research","funders":"","keywords":"Genome; Computational biology; Computer science; Biology; Data science; World Wide Web; Genetics; Gene","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":[0.0136763,0.002900057,0.001964292,0.005497655,0.002428383,0.008862199,0.006590921,0.002360486,0.009598341],"category_scores_gemma":[0.04951222,0.004164112,0.002362444,0.007204357,0.002032937,0.01461945,0.01447258,0.007358957,0.004456185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122867,"about_ca_system_score_gemma":0.004694267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00894365,"about_ca_topic_score_gemma":0.01820648,"domain_scores_codex":[0.9935443,0.001600358,0.00091772,0.001373308,0.002083935,0.0004803774],"domain_scores_gemma":[0.9586858,0.01539,0.001065483,0.01756708,0.004661504,0.002630135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004377231,0.001069802,0.04040881,0.00337043,0.002003351,0.001851549,0.008587207,0.03223997,0.07466511,0.1082121,0.3690402,0.3541743],"study_design_scores_gemma":[0.0007591211,0.0002186499,0.007883693,0.0008085404,0.0007319994,0.0007028494,0.002838814,0.2661839,0.07431358,0.3574508,0.2875308,0.0005772826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04892251,0.002059271,0.6313784,0.002397676,0.0008883831,0.0005520917,0.04798051,0.2581995,0.007621631],"genre_scores_gemma":[0.2211459,0.002217469,0.5693159,0.001638792,0.0002839191,0.001554856,0.1359859,0.06044237,0.007415034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0136763,"threshold_uncertainty_score":0.07232803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881439647261967,"score_gpt":0.3704781492535578,"score_spread":0.3416637527809381,"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."}}