{"id":"W2295930472","doi":"10.3997/2214-4609.201600031","title":"Pros and Cons of 2D Crooked Seismic Profiles for Deep Mineral Exploration - A Comparison with 3D Surveys in Geologically Complex Mining Environment","year":2016,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Geology; Mineralization (soil science); Mineral exploration; Seismology; Vertical seismic profile; Mineral deposit; Mining engineering; Geophysics; Geochemistry; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004966625,0.00009994012,0.0001809738,0.00007279393,0.00005502204,0.00002160361,0.00007434517,0.00004111359,0.00005573685],"category_scores_gemma":[0.000039096,0.00006029772,0.00001372823,0.00005683743,0.0001914294,0.0002541444,0.00001071564,0.00003764026,0.00000333104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005644712,"about_ca_system_score_gemma":0.00001149546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025718,"about_ca_topic_score_gemma":0.00003077243,"domain_scores_codex":[0.9992779,0.00002205394,0.0002009228,0.0002108318,0.0001131342,0.0001751095],"domain_scores_gemma":[0.9996806,0.00008864098,0.0001220655,0.0000349305,0.00003274438,0.00004101191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008069049,0.00002415617,0.9343138,0.00005412436,0.000005788472,3.902468e-7,0.0009068074,0.00003115302,0.00324317,0.0000174421,0.0008822117,0.06044022],"study_design_scores_gemma":[0.001952875,0.001662872,0.6286613,0.0002413922,0.00002421993,0.00001413081,0.001797814,0.3449745,0.01317951,0.00102945,0.006074629,0.0003873211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818375,0.00005026188,0.01638376,0.0007642322,0.00001455235,0.0004572545,0.00002074235,0.00004285207,0.0004288944],"genre_scores_gemma":[0.97434,0.0000242743,0.02535612,0.0001359931,0.00001310032,0.00002034594,0.0000268542,0.000003034935,0.00008033495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3449433,"threshold_uncertainty_score":0.245887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04021315913952424,"score_gpt":0.231673282074032,"score_spread":0.1914601229345078,"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."}}