{"id":"W2969923453","doi":"10.1111/1365-2478.12861","title":"Potential of legacy 2D seismic data for deep targeting and structural imaging at the Neves–Corvo massive sulphide‐bearing deposit, Portugal","year":2019,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lundin Mining (Canada)","funders":"","keywords":"Geology; Geophysical imaging; Seismology; Mineralization (soil science); Regional geology; Metamorphic petrology; Metamorphic rock; Workflow; Geochemistry; Mining engineering; Tectonics; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005094165,0.0003633933,0.0003064218,0.001352265,0.0003105794,0.0008506699,0.0005567372,0.0004611201,0.001116594],"category_scores_gemma":[0.001311188,0.0001875308,0.0002235186,0.0009869754,0.0003454015,0.0003351989,0.0006033858,0.0003146569,0.0005755967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718035,"about_ca_system_score_gemma":0.0005772501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01835071,"about_ca_topic_score_gemma":0.06224006,"domain_scores_codex":[0.9997324,0.00002692987,0.0000137714,0.00005456026,0.0001037238,0.00006861224],"domain_scores_gemma":[0.9995437,0.00007799322,0.00005543152,0.0001152675,0.000159879,0.00004769508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001166871,0.0008092534,0.5567052,0.0004893413,0.000262075,0.004382192,0.002061745,0.08611245,0.09775408,0.002039972,0.01006117,0.2381556],"study_design_scores_gemma":[0.00009880411,0.00008726138,0.8965318,0.0001507603,0.00005002424,0.0005148051,0.001804005,0.06781137,0.009745584,0.0008153486,0.02232104,0.00006922048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842152,0.0001827536,0.003594286,0.0002914434,0.0000721386,0.00002011266,0.004420948,0.0003031387,0.006899923],"genre_scores_gemma":[0.9885693,0.0001372576,0.005094808,0.00003469575,0.00005145001,0.00001303254,0.004982119,0.00009390716,0.00102321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01835071,"threshold_uncertainty_score":0.03648782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008009360304769151,"score_gpt":0.2184573718965055,"score_spread":0.2104480115917364,"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."}}