{"id":"W2834516606","doi":"10.1111/cgf.13434","title":"Illustrative Multivariate Visualization for Geological Modelling","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; CMG Reservoir Simulation Foundation","keywords":"Visualization; Computer science; Multivariate statistics; Grid; Domain (mathematical analysis); Data mining; Visual analytics; Data visualization; Geology; Machine learning","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":[0.0008517157,0.0009594794,0.0004248121,0.001431826,0.0004655897,0.002039047,0.0006033372,0.0007198714,0.01256236],"category_scores_gemma":[0.004973651,0.0002683091,0.0005425887,0.001032826,0.0005724906,0.001416131,0.002186245,0.0009771455,0.001251345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004617909,"about_ca_system_score_gemma":0.0004601493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220992,"about_ca_topic_score_gemma":0.001445501,"domain_scores_codex":[0.9994608,0.0003189078,0.00002143711,0.00004117997,0.000131752,0.00002594905],"domain_scores_gemma":[0.9978358,0.001396359,0.0001107298,0.0002751542,0.0002784658,0.0001034871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006656016,0.0001282968,0.003041984,0.001348338,0.0001087945,0.001607135,0.005315029,0.3379226,0.05731319,0.2665969,0.04391679,0.2820354],"study_design_scores_gemma":[0.00005079302,0.00008191784,0.001470953,0.0002509423,0.00003331958,0.0006812,0.0007450489,0.7327071,0.01464183,0.08997537,0.1592603,0.0001012402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01772935,0.000329411,0.9655405,0.0007052994,0.0001012166,0.00008340131,0.0007067288,0.005451272,0.009352841],"genre_scores_gemma":[0.3518038,0.0006806781,0.6408919,0.000227222,0.0000833548,0.0002714407,0.0009833808,0.001226723,0.003831382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01256236,"threshold_uncertainty_score":0.04202527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630041469152158,"score_gpt":0.3254451442728473,"score_spread":0.2691447295813257,"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."}}