{"id":"W2320947752","doi":"10.1190/1.3513199","title":"Nigeria's Nationwide High‐resolution Airborne Geophysical Surveys","year":2010,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Geological survey; Library science; Watson; Geophysical survey; Geology; Mineral exploration; Citation; Geophysics; Computer science; Artificial intelligence","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":["insufficient_payload"],"category_scores_codex":[0.0006325255,0.0001260113,0.0001647021,0.00005088095,0.0001491403,0.00005330879,0.0001876624,0.00009589633,0.005824199],"category_scores_gemma":[0.0002606273,0.00009087919,0.0000706575,0.0004240413,0.0000777138,0.0001733094,0.00001057804,0.0003218251,0.002204961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001131928,"about_ca_system_score_gemma":0.00002932687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006435746,"about_ca_topic_score_gemma":0.005632258,"domain_scores_codex":[0.9986744,0.0002645902,0.0001669863,0.0002762204,0.000273653,0.0003441654],"domain_scores_gemma":[0.999047,0.0004713048,0.00003936868,0.0001841662,0.00006794919,0.0001901413],"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":[0.0000215992,0.00009837662,0.05655149,0.000005992982,0.00001518157,0.000005636766,0.00001886457,0.0002286704,0.002376717,0.006689502,0.0009464792,0.9330415],"study_design_scores_gemma":[0.0001382894,0.0001049798,0.9632575,7.911595e-7,0.000003963169,0.00000220675,0.000002868907,0.006856231,0.001304748,0.02524833,0.002932671,0.0001474143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759898,0.0000121465,0.007609976,0.0009768873,0.000900417,0.000107001,0.00002273451,0.0001301128,0.01425094],"genre_scores_gemma":[0.9879271,0.00000237221,0.009328453,0.0002657952,0.0005112651,0.000001268873,0.00008509448,0.000002673332,0.001875999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9328941,"threshold_uncertainty_score":0.9985719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023452126577749,"score_gpt":0.225958647870135,"score_spread":0.2157241266043575,"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."}}