{"id":"W6948766767","doi":"10.5066/p9d4ea9w","title":"Airborne electromagnetic, magnetic, and radiometric survey, Shellmound, Mississippi, March 2018 (ver. 2.0, March 2024)","year":2018,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"Research Data Management Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiometric dating; Terrain; Data processing; Magnetometer; Depth sounding; Thorium; Spectrometer; Background radiation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867242,0.0003669618,0.000147399,0.001231178,0.0009402735,0.0005329913,0.000386862,0.0002433333,0.01032635],"category_scores_gemma":[0.0006737287,0.0002278751,0.00009403276,0.001660913,0.0001478413,0.0003443453,0.0005358405,0.0003297196,0.005980208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585417,"about_ca_system_score_gemma":0.00309317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3971611,"about_ca_topic_score_gemma":0.6344525,"domain_scores_codex":[0.9997671,0.00001468313,0.00001168782,0.00005804346,0.0001231248,0.00002533845],"domain_scores_gemma":[0.9993491,0.0000160414,0.00004383847,0.00003887398,0.0005085869,0.00004354729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003972473,0.0002153843,0.2581322,0.0005129746,0.000100067,0.0012179,0.003153005,0.001922193,0.03510486,0.001199115,0.4994614,0.1985836],"study_design_scores_gemma":[0.00003518594,0.00007054044,0.5351114,0.0001305131,0.00002127913,0.0002126414,0.001545051,0.001776204,0.003277757,0.0002226018,0.4575754,0.0000214415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2932097,0.0007504319,0.009063543,0.0008598671,0.0002117337,0.0007227743,0.5989922,0.002063202,0.09412643],"genre_scores_gemma":[0.3020919,0.0008635622,0.02610623,0.0004861338,0.0001210185,0.001208308,0.5511048,0.0004655571,0.1175526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3971611,"threshold_uncertainty_score":0.7896988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982334589554081,"score_gpt":0.2859321651403054,"score_spread":0.2461088192447646,"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."}}