{"id":"W7097893631","doi":"","title":"P-PandP-SVseismicdatafromLousana Analysis of P-P and P-SV seismic data from Lousana,","year":2014,"lang":"en","type":"article","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":"Seismic to simulation; Offset (computer science); Synthetic data; Seismic inversion; Data quality; Lithology; Ooid; Borehole; Reservoir modeling; North sea","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":[0.000110458,0.0002422814,0.0001245191,0.001157319,0.0003474831,0.0004289038,0.0002857696,0.0001354959,0.001310951],"category_scores_gemma":[0.0002991112,0.0001134752,0.0001373046,0.001314243,0.0002113781,0.000118856,0.0003633978,0.0001788933,0.0002989814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008688068,"about_ca_system_score_gemma":0.001299594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2737172,"about_ca_topic_score_gemma":0.6769611,"domain_scores_codex":[0.9998598,0.000004730952,0.000005592118,0.00002072568,0.00008444607,0.00002467238],"domain_scores_gemma":[0.9998031,0.00001139806,0.00002106296,0.00001257619,0.0001055132,0.00004638054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006748412,0.00009627833,0.5483374,0.0002317675,0.0001117928,0.001416008,0.004418248,0.003276947,0.2216871,0.000398991,0.002243065,0.2171076],"study_design_scores_gemma":[0.000006394722,0.0000433667,0.9888397,0.000008826021,0.00002279194,0.0001400474,0.0008441892,0.001772632,0.004431289,0.00003472902,0.003847348,0.000008767941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926226,0.00006993148,0.001809993,0.00002296866,0.000006829592,0.00002246888,0.001552613,0.0001245247,0.003768084],"genre_scores_gemma":[0.9831329,0.0001262902,0.004438923,0.00001561265,0.000006388547,0.00002487935,0.006723653,0.00004263248,0.005488671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2737172,"threshold_uncertainty_score":0.544248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907696529880112,"score_gpt":0.2423449066320121,"score_spread":0.2132679413332109,"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."}}