{"id":"W2329871005","doi":"10.1190/1.3627433","title":"Using ERA low frequency E‐field profiling and UBC 3D frequency‐domain inversion to delineate and discover a mineralized zone in Porcupine district, Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Porcupine; Profiling (computer programming); Frequency domain; Geology; Inversion (geology); Geophysics; Earth science; Seismology; Computer science; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762896,0.0001897656,0.0002754911,0.00008447365,0.00009384225,0.00003326681,0.0001046182,0.00006798646,0.0008399129],"category_scores_gemma":[0.00008417928,0.0001380599,0.00002438507,0.0004003996,0.00002718986,0.0001971701,0.00002687359,0.0002140723,0.000003741712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003059646,"about_ca_system_score_gemma":0.0002221254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962217,"about_ca_topic_score_gemma":0.9921179,"domain_scores_codex":[0.9986701,0.00009124327,0.0002788937,0.0003732141,0.0001907651,0.000395796],"domain_scores_gemma":[0.9993827,0.0001245682,0.00004791823,0.000124166,0.00002948932,0.0002911174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001738289,0.0000458264,0.9564645,0.00004373302,0.00001854901,0.0001573199,0.0005406232,0.00008902895,0.003252752,0.0003065208,0.0002009825,0.03870638],"study_design_scores_gemma":[0.001228963,0.0006685209,0.9663355,0.00008307378,0.00003509375,0.00002968555,0.00022108,0.02031352,0.001786271,0.00836318,0.0002263673,0.00070876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933681,0.0001398676,0.002811558,0.0002849018,0.00009485353,0.0002404205,0.00002208781,0.00001504852,0.003023122],"genre_scores_gemma":[0.8391805,0.00001001918,0.1597063,0.0007967827,0.00003470817,0.000001434642,0.00003140367,0.000003138115,0.0002357171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568948,"threshold_uncertainty_score":0.9196457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328971155235361,"score_gpt":0.2213704859971175,"score_spread":0.1980807744447639,"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."}}