{"id":"W2135769983","doi":"10.1071/aseg2012ab181","title":"Simultaneous sources: The inaugural full-field, marine seismic case history from Australia","year":2012,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Computer science; Inversion (geology); Data set; Data quality; Sampling (signal processing); Data mining; Data acquisition; Data processing; Field (mathematics); Set (abstract data type); Data collection; Algorithm; Seismology; Engineering; Geology; Artificial intelligence; Telecommunications; Mathematics; Statistics; Database; Detector","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":[0.0004506877,0.0003637038,0.0001976973,0.001407263,0.001016684,0.0004352572,0.0006597284,0.0009616163,0.001776392],"category_scores_gemma":[0.002492833,0.0002808609,0.000161108,0.0007625758,0.0006418824,0.0005192267,0.001182047,0.0006753522,0.0002683738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009982297,"about_ca_system_score_gemma":0.0007496118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04025394,"about_ca_topic_score_gemma":0.110846,"domain_scores_codex":[0.999668,0.0000605299,0.00002155313,0.00005757518,0.0001387907,0.0000535301],"domain_scores_gemma":[0.9994476,0.00009788161,0.00009747537,0.00007346518,0.0001675631,0.0001160249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0004340423,0.001131761,0.4040242,0.0005171495,0.00015601,0.2975095,0.03342135,0.006280745,0.0146075,0.004794338,0.01244224,0.2246811],"study_design_scores_gemma":[0.00006090466,0.001145346,0.6629038,0.0003022056,0.0001120788,0.243939,0.01951546,0.01272139,0.007095054,0.004191377,0.04789216,0.0001212361],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882727,0.0003251329,0.003192525,0.0009007867,0.00002384291,0.00009363632,0.0002682325,0.00003298798,0.00689024],"genre_scores_gemma":[0.9932752,0.0004131784,0.002844359,0.0001512142,0.00002993839,0.00002173375,0.0001977659,0.00001801857,0.003048634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04025394,"threshold_uncertainty_score":0.08003926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304612866708598,"score_gpt":0.2347215946702881,"score_spread":0.2116754660032022,"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."}}