{"id":"W4393612209","doi":"10.5281/zenodo.5768247","title":"3D magnetic susceptibility data for the Sixtymile gold district","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Magnetic susceptibility; Geography; Geology; Chemistry; Crystallography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004909447,0.001603762,0.001100619,0.001691768,0.0005167336,0.001197938,0.001978896,0.001678694,0.04810853],"category_scores_gemma":[0.002306593,0.0005426797,0.0009835726,0.003005803,0.000326845,0.0006865518,0.00138086,0.0008923617,0.05369025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008765348,"about_ca_system_score_gemma":0.001373218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504752,"about_ca_topic_score_gemma":0.04942602,"domain_scores_codex":[0.9996473,0.000046905,0.00003226252,0.000121256,0.00009954062,0.00005274566],"domain_scores_gemma":[0.9991993,0.0001970156,0.00007837405,0.000225036,0.000229113,0.00007117288],"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":[0.00013398,0.00002915636,0.001750802,0.000983984,0.00006881091,0.0000792685,0.00003989848,0.001762604,0.00049649,0.0007916579,0.988068,0.005795205],"study_design_scores_gemma":[0.0002336059,0.00002123656,0.01019914,0.0002941492,0.00005830225,0.0001217953,0.0001003588,0.001641272,0.001235269,0.003098095,0.9829416,0.00005533862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004211456,0.00005914543,0.0001952083,0.00004326594,0.0000126259,0.00000708864,0.9980569,0.0005134837,0.0006910661],"genre_scores_gemma":[0.001489824,0.00006177639,0.0006579547,0.00003194752,0.000004875526,0.00005712064,0.9966798,0.0001299241,0.0008867442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04810853,"threshold_uncertainty_score":0.160939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608937202758725,"score_gpt":0.2596743182350237,"score_spread":0.2235849462074364,"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."}}