{"id":"W4385807551","doi":"10.1111/1365-2478.13414","title":"Introduction to the special issue on “mineral exploration and mining geophysics”","year":2023,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mineral exploration; Geology; Economic geology; Mineral resource classification; Igneous petrology; Mineral; Geophysics; Earth science; Mining engineering; Geochemistry; Telmatology; Hydrogeology; Engineering geology; Seismology; Volcanism; Tectonics; Chemistry; Geotechnical engineering","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":[0.0002723531,0.0001275191,0.0001212887,0.00004213351,0.00042185,0.0001851582,0.0002694679,0.00003310954,0.00001366224],"category_scores_gemma":[0.0002985178,0.00009825801,0.00003528834,0.0007812059,0.00002964402,0.0003050339,0.0002971895,0.0001794816,0.0005927331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002104332,"about_ca_system_score_gemma":0.000009833168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001272628,"about_ca_topic_score_gemma":0.000003449366,"domain_scores_codex":[0.9988158,0.00003385029,0.0001426727,0.0004925998,0.0002175611,0.0002975606],"domain_scores_gemma":[0.9993731,0.0001017429,0.00005817151,0.0003438976,0.0000636274,0.00005942907],"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":[0.00005989938,0.000173417,0.0005743463,0.00007933445,0.00004459747,0.00003832053,0.02322413,0.0211467,0.02611605,0.1553302,0.2579109,0.5153021],"study_design_scores_gemma":[0.0008140475,0.0009577594,0.04554713,0.0001017951,0.00002321182,0.00003031981,0.003298937,0.207092,0.02031375,0.1573585,0.5632338,0.00122868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7054793,0.000004522111,0.006379433,0.2636117,0.002724278,0.0005958013,0.000001643284,0.0008025122,0.02040084],"genre_scores_gemma":[0.9330117,0.000002001372,0.001344115,0.0004829808,0.05789946,0.00006084456,0.000007505992,0.000006358526,0.007185023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5140734,"threshold_uncertainty_score":0.7618583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619187449345966,"score_gpt":0.2352881952677535,"score_spread":0.2190963207742938,"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."}}