{"id":"W2023357311","doi":"10.1109/tvcg.2013.214","title":"Variant View: Visualizing Sequence Variants in their Gene Context","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada's Michael Smith Genome Sciences Centre","keywords":"Computer science; Visualization; Workflow; Context (archaeology); Sequence (biology); Task (project management); Data visualization; Encoding (memory); Information retrieval; Data science; Human–computer interaction; Data mining; Artificial intelligence; Database; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002381779,0.0009651156,0.0005932961,0.002865251,0.0006486075,0.003100413,0.001207317,0.001196586,0.006546282],"category_scores_gemma":[0.00902654,0.0004591284,0.001044307,0.001959408,0.0006419506,0.002807607,0.002734632,0.00128412,0.0009222614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005824213,"about_ca_system_score_gemma":0.001171541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004812072,"about_ca_topic_score_gemma":0.007052283,"domain_scores_codex":[0.9992498,0.000304927,0.00005595593,0.0001466085,0.000186403,0.00005621599],"domain_scores_gemma":[0.9961696,0.002347858,0.0002283719,0.0005582068,0.0004371407,0.000258803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002726596,0.0003484381,0.04558263,0.002135764,0.0004497533,0.003547684,0.01788778,0.04782999,0.09218948,0.1235206,0.1085665,0.5552148],"study_design_scores_gemma":[0.0004743339,0.000691535,0.02437468,0.0009391768,0.0005634609,0.003043892,0.005796127,0.2942733,0.07977567,0.2513935,0.3381492,0.0005252925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.07709059,0.001584036,0.8739509,0.00164739,0.0002949411,0.0002168466,0.008250409,0.02872267,0.008242325],"genre_scores_gemma":[0.3626407,0.001263663,0.6229802,0.0004086999,0.00008546784,0.0002652677,0.005686766,0.003458447,0.003210741],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.006546282,"threshold_uncertainty_score":0.02189952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505998007357396,"score_gpt":0.2872464593803011,"score_spread":0.2521864793067272,"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."}}