{"id":"W7008966180","doi":"","title":"Data visualization and crowdsourcing approaches for complex data analysis","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Crowdsourcing; Visualization; Data visualization; Intuition; Field (mathematics); Perspective (graphical); Data mapping; Visual analytics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01502693,0.001601565,0.001186407,0.006456496,0.002813686,0.007259825,0.002199588,0.001803659,0.007791038],"category_scores_gemma":[0.03541932,0.0009942567,0.002450407,0.006772163,0.004023344,0.0046142,0.008934226,0.003830208,0.002238652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003126588,"about_ca_system_score_gemma":0.00372165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004356436,"about_ca_topic_score_gemma":0.00514233,"domain_scores_codex":[0.9876255,0.007068877,0.0005319525,0.001663797,0.002760637,0.0003492027],"domain_scores_gemma":[0.9683176,0.02143577,0.001270083,0.004734676,0.003420988,0.0008208851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002523043,0.0002246178,0.00402575,0.001661474,0.0004037186,0.0003567238,0.009807565,0.05621916,0.01012763,0.2980896,0.04857219,0.5702592],"study_design_scores_gemma":[0.0000982419,0.00007043291,0.002879593,0.000643778,0.00007581627,0.0002285564,0.002713331,0.2214375,0.007670949,0.5986065,0.1653678,0.0002075168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005249403,0.002945709,0.9768111,0.005335722,0.0002631631,0.0002745576,0.0005711865,0.00120051,0.007348813],"genre_scores_gemma":[0.105412,0.003980196,0.8786309,0.0009177165,0.000426345,0.001258205,0.001149695,0.0008954655,0.007329391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01502693,"threshold_uncertainty_score":0.07947093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509918172631251,"score_gpt":0.3424816080636114,"score_spread":0.1914897908004863,"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."}}