{"id":"W2991111751","doi":"10.1101/855379","title":"3DGV: Immersive Exploration of 3D Genome Structures using Virtual Reality","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Genome Canada","keywords":"Virtual reality; Computer science; Human–computer interaction; Genome; Visualization; Mixed reality; 3d model; Data science; Biology; Artificial intelligence; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009401046,0.001037985,0.0007705795,0.0008464334,0.0004429112,0.00191249,0.001764534,0.001142436,0.03602617],"category_scores_gemma":[0.00158584,0.0008162467,0.001485553,0.0004633589,0.0005328529,0.001518064,0.003839418,0.001515359,0.006856933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226475,"about_ca_system_score_gemma":0.0006095875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506585,"about_ca_topic_score_gemma":0.00415431,"domain_scores_codex":[0.9995971,0.00007361882,0.00001636639,0.0000655013,0.000183538,0.00006397652],"domain_scores_gemma":[0.9994693,0.0002355964,0.00001781953,0.0001129017,0.00006057244,0.0001038394],"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":[0.0009829343,0.0003494067,0.002871025,0.001524562,0.0004034269,0.001772539,0.00219347,0.04546777,0.1379493,0.04461546,0.4041897,0.3576803],"study_design_scores_gemma":[0.0005780651,0.000256006,0.00628083,0.0003489157,0.0001219686,0.001749655,0.0004197697,0.1933579,0.05801627,0.04909187,0.6893641,0.0004146168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01095014,0.0006634928,0.8748844,0.000897573,0.0003660558,0.0002898483,0.01963013,0.07722441,0.0150938],"genre_scores_gemma":[0.1431635,0.001915812,0.7539721,0.0007483682,0.0001632443,0.001155423,0.04409241,0.03361604,0.02117322],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03602617,"threshold_uncertainty_score":0.1205196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815078568047428,"score_gpt":0.2343487039546112,"score_spread":0.2161979182741369,"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."}}