{"id":"W1970789277","doi":"10.5555/2331067.2331069","title":"Sketch modeling of seismic horizons from uncertainty","year":2012,"lang":"en","type":"article","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sketch; Computer science; Interface (matter); Sketch recognition; Reservoir simulation; Domain (mathematical analysis); Set (abstract data type); Interpretation (philosophy); Data modeling; Reservoir modeling; Geology; Data mining; Artificial intelligence; Software engineering; Petroleum engineering; Algorithm; Programming language","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":[0.0009095389,0.0006702652,0.0005477165,0.0008092437,0.0003187933,0.001694753,0.0009971015,0.0008805072,0.006046315],"category_scores_gemma":[0.006572819,0.0004911923,0.0008779328,0.0005435826,0.000904811,0.002348376,0.002081097,0.000831201,0.0005832727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005800221,"about_ca_system_score_gemma":0.0004236357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134391,"about_ca_topic_score_gemma":0.001817757,"domain_scores_codex":[0.9995388,0.0001224806,0.0000352687,0.0001072085,0.0001637497,0.00003255801],"domain_scores_gemma":[0.9981992,0.001119028,0.0001275763,0.0002385087,0.0002096178,0.0001061287],"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":[0.0001276569,0.00001627844,0.0009517877,0.0001309846,0.00002422399,0.0002288929,0.000361434,0.85124,0.008591333,0.07091205,0.001257915,0.06615747],"study_design_scores_gemma":[0.000004908353,0.000009131786,0.00006542535,0.000005662554,0.000004426599,0.00002356184,0.00001646296,0.9863018,0.001265156,0.01050246,0.001795279,0.000005784589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009258028,0.00006709065,0.9886115,0.00004385435,0.0000167879,0.00002110269,0.00008666085,0.0005879642,0.001307043],"genre_scores_gemma":[0.5859427,0.0004937749,0.4067958,0.00004575531,0.00004766387,0.0001524137,0.0004879408,0.0003483327,0.00568564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006046315,"threshold_uncertainty_score":0.02022696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306796061914645,"score_gpt":0.2202523871672838,"score_spread":0.1895727809758193,"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."}}