{"id":"W2982035210","doi":"10.4095/296308","title":"Acquisition, processing and interpretation of the Lalor 3C-3D seismic data","year":2014,"lang":"en","type":"report","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Interpretation (philosophy); Geology; Computer science; Seismology; 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":[0.0008568036,0.0006093813,0.0004727972,0.0020746,0.0008049667,0.00136785,0.0009332004,0.0007891407,0.01406463],"category_scores_gemma":[0.0018087,0.0004001507,0.0003742181,0.001976203,0.0004680156,0.0006118649,0.001122924,0.0009376674,0.01292309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007361721,"about_ca_system_score_gemma":0.004128803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035885,"about_ca_topic_score_gemma":0.04178076,"domain_scores_codex":[0.9991111,0.00006376783,0.00003952267,0.00008635328,0.0006160273,0.00008320495],"domain_scores_gemma":[0.9982759,0.0001093856,0.00007810667,0.0003087768,0.001129136,0.0000988414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007667961,0.0005280836,0.02224152,0.0006929117,0.00008281773,0.0006122744,0.000913732,0.0198166,0.2883726,0.00599473,0.254247,0.4057309],"study_design_scores_gemma":[0.000230597,0.0003218777,0.09465916,0.0002029881,0.0001065915,0.001136451,0.0007287753,0.1307663,0.2399102,0.002181566,0.529462,0.0002936521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1939746,0.0003661661,0.393175,0.002133392,0.0003722393,0.001994705,0.2328154,0.03082409,0.1443446],"genre_scores_gemma":[0.2180599,0.0004307743,0.5540695,0.0004210929,0.0001215589,0.001645344,0.1937401,0.002865396,0.0286464],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02035885,"threshold_uncertainty_score":0.04705089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891338977362056,"score_gpt":0.2651284769706785,"score_spread":0.2362150871970579,"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."}}