{"id":"W2330437909","doi":"10.1071/aseg2009ab077","title":"Airborne geophysics as a tool to promote mineral investment in africa","year":2009,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC; World Wildlife Fund Canada","funders":"","keywords":"Mineral exploration; Mineral resource classification; Geology; Investment (military); Resource (disambiguation); Sustainable development; Earth science; Geography; Geophysics; Political science; Geochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002694354,0.0002227265,0.0002711679,0.0001075373,0.00006557092,0.00006209604,0.0002325117,0.00008187315,0.0002847823],"category_scores_gemma":[0.0002096355,0.000179235,0.00008103844,0.0007119864,0.00002456475,0.0001971632,0.00001088463,0.0002712172,0.00154924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001067498,"about_ca_system_score_gemma":0.00006761673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008722696,"about_ca_topic_score_gemma":0.000161479,"domain_scores_codex":[0.9981281,0.00006677452,0.0003334696,0.0004296404,0.0003578386,0.0006842108],"domain_scores_gemma":[0.9991984,0.0001005354,0.00006722305,0.0002487941,0.00003491121,0.0003501412],"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":[0.00007732896,0.0002433596,0.00004771856,0.000004978531,0.000005998503,0.0001400501,0.0001484366,0.001249464,0.0004574763,0.0008293884,0.0006130817,0.9961827],"study_design_scores_gemma":[0.0002732663,0.0008804377,0.8959981,0.00001700644,0.000007245288,0.000005980579,0.000009825005,0.0004773288,0.001141749,0.09225193,0.008682569,0.0002545847],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764795,0.00008473736,0.00001546656,0.001970045,0.0001088907,0.0003612612,0.000016024,0.0000602331,0.02090388],"genre_scores_gemma":[0.9873794,0.000004475381,0.008237779,0.003301629,0.0001640572,0.000004098467,0.00003210678,0.00000375221,0.000872749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959281,"threshold_uncertainty_score":0.9992282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626111274416298,"score_gpt":0.2468432739781406,"score_spread":0.2305821612339776,"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."}}