{"id":"W4402051265","doi":"10.4095/pka4ub66st","title":"Datasets to support predictive geochemical mineral exploration in northern Manitoba","year":2024,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral exploration; Mineral; Geology; Geochemistry; Archaeology; Earth science; Geography; Chemistry","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":[0.0007560714,0.0007428518,0.000361854,0.001798552,0.001058645,0.0008939386,0.001739393,0.0006388196,0.006962941],"category_scores_gemma":[0.002455896,0.0003979256,0.0006182471,0.004728123,0.0003609441,0.0006596325,0.001131624,0.0005526691,0.002724581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004436111,"about_ca_system_score_gemma":0.01020735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.82476,"about_ca_topic_score_gemma":0.9040932,"domain_scores_codex":[0.9997135,0.00003713293,0.00001560193,0.000053421,0.0001245507,0.000055852],"domain_scores_gemma":[0.9984492,0.0001863019,0.00007392114,0.0002666093,0.000792733,0.0002312795],"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":[0.001194222,0.0007844162,0.1798332,0.001178479,0.0006135767,0.0006201034,0.001988678,0.07509772,0.009855716,0.007014443,0.6272889,0.09453055],"study_design_scores_gemma":[0.000721778,0.00009649318,0.4010738,0.0004315726,0.000215396,0.0001449214,0.003876728,0.1153415,0.01344832,0.004099183,0.4603918,0.000158425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09732167,0.0001818024,0.002334769,0.0008802406,0.00005291726,0.0002683416,0.8844287,0.004112955,0.01041853],"genre_scores_gemma":[0.1085628,0.0002604349,0.01438115,0.0001244988,0.00001275675,0.0004874167,0.8672242,0.0003926223,0.008554102],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.17524,"threshold_uncertainty_score":0.352544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504156516183941,"score_gpt":0.2830819920515856,"score_spread":0.2380404268897462,"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."}}