{"id":"W2559451552","doi":"10.1071/aseg2016ab113","title":"Applicability of standard Euler deconvolution, modeling and amplitude magnetic data inversion in Greenfield programs: The Leite target case study - Carajas Mineral Province - Brazil","year":2016,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; European Commission","keywords":"Magnetic anomaly; Geology; Amplitude; Magnetic survey; Deconvolution; Magnetite; Geophysics; Mineralogy; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009525524,0.0001607843,0.0002451617,0.00004470124,0.0001092923,0.00003718935,0.000314323,0.00006747603,0.00009427765],"category_scores_gemma":[0.0002422748,0.00008670465,0.00003132362,0.0002139552,0.0001581186,0.0002932467,0.0000808085,0.0001836328,0.00001009783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007014901,"about_ca_system_score_gemma":0.00008139338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01656571,"about_ca_topic_score_gemma":0.02510254,"domain_scores_codex":[0.9982666,0.0002066081,0.0003978513,0.0005113222,0.0002795107,0.000338082],"domain_scores_gemma":[0.9986674,0.0004909377,0.00009753573,0.0005421551,0.00006059281,0.0001414421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001587485,0.0002359597,0.07303872,0.00003205333,0.00001199839,0.0001486933,0.0001529199,0.000501411,0.00005104783,0.00001124873,0.00002755165,0.9256296],"study_design_scores_gemma":[0.0008218589,0.000875266,0.9675021,0.00002583379,0.00002973472,0.00006227022,0.0004172428,0.02553437,0.00005377158,0.004208762,0.0002722019,0.0001965638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976416,0.0003019004,0.0007499325,0.0003798697,0.00004898102,0.0006763217,0.0001176661,0.00002005311,0.00006364609],"genre_scores_gemma":[0.9974323,0.0000133393,0.002401673,0.00005028005,0.00004300642,0.000005242202,0.00002905868,0.000003236988,0.00002185492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9254331,"threshold_uncertainty_score":0.9926868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335251096595323,"score_gpt":0.2808135085366679,"score_spread":0.2472883988771356,"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."}}