{"id":"W7162005726","doi":"10.82308/50692","title":"3-D seismic-based lithology prediction using impedance inversion and neural networks application: case-study from the Mannville Group in East-Central Alberta, Canada","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lithology; Fresh water; Volume (thermodynamics); Reflectivity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003981155,0.001058629,0.0004785679,0.001125191,0.0009934022,0.001104745,0.001263355,0.001091894,0.001177672],"category_scores_gemma":[0.0008010093,0.0004048983,0.0005222791,0.00232148,0.0008011272,0.0002774592,0.0004871157,0.0004778554,0.0002051092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007472149,"about_ca_system_score_gemma":0.007238734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9353189,"about_ca_topic_score_gemma":0.9503847,"domain_scores_codex":[0.9997442,0.00001917501,0.00001334318,0.00004525165,0.0001011789,0.00007675837],"domain_scores_gemma":[0.9997159,0.00007228685,0.00002177141,0.00001695,0.000130279,0.00004281416],"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":[0.0004946348,0.000419393,0.1497267,0.0001900699,0.0001555766,0.003654137,0.000737504,0.779672,0.007015977,0.0008623438,0.001738931,0.05533272],"study_design_scores_gemma":[0.00008474089,0.00008091817,0.1021133,0.00002645515,0.00009188085,0.0001145034,0.001591033,0.8903022,0.004053376,0.0002782747,0.001205393,0.00005800022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931202,0.0001155184,0.003329301,0.0001222857,0.000006116903,0.00005035249,0.0006832443,0.0002009813,0.002371882],"genre_scores_gemma":[0.9935952,0.0001088483,0.004002206,0.00001377163,0.000002786861,0.00001390543,0.0006723936,0.0000159889,0.001574801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06468105,"threshold_uncertainty_score":0.1301239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008956752151099916,"score_gpt":0.2061404469700962,"score_spread":0.1971836948189963,"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."}}