{"id":"W2988463985","doi":"10.1080/22020586.2019.12072985","title":"Understanding Archean greenstone-hosted lode gold mineralization in Ontario Canada through helicopter TDEM data","year":2019,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Committee of Toronto; Petro Geotech (Canada)","funders":"","keywords":"Lode; Archean; Terrane; Greenstone belt; Geology; Geochemistry; Mineralization (soil science); Mesothermal; Overprinting; Earth science; Metamorphic rock; Paleontology; Tectonics; Fluid inclusions","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002841223,0.0001929079,0.0002569317,0.00005513312,0.00005474628,0.0000532618,0.0003878076,0.0000886957,0.001237344],"category_scores_gemma":[0.00007514602,0.0001630144,0.00003085946,0.0003223651,0.00003180547,0.0004664174,0.00003616914,0.0003850164,0.0001547398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000987932,"about_ca_system_score_gemma":0.0005422619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909737,"about_ca_topic_score_gemma":0.9994068,"domain_scores_codex":[0.9981349,0.00009629073,0.0003412879,0.0005064878,0.0003975226,0.0005234776],"domain_scores_gemma":[0.9989383,0.0003070568,0.0001058529,0.0004682294,0.00002331096,0.0001572619],"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":[0.0006811483,0.0004998816,0.3949915,0.0002246362,0.0001901767,0.0008137451,0.001346009,0.05763714,0.000485084,0.005277078,0.02003045,0.5178232],"study_design_scores_gemma":[0.0003964449,0.00007766445,0.986271,0.00003063244,0.00001017599,0.000007950849,0.00008632756,0.004280834,0.0001035054,0.004173202,0.004319204,0.0002430651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775703,0.00007170585,0.0002880728,0.0006577306,0.0004612,0.0002748309,0.00008161648,0.00003018264,0.02056434],"genre_scores_gemma":[0.994882,0.0000069977,0.001535709,0.0008310401,0.00005898687,5.694775e-7,0.0008850016,0.000005697315,0.001793942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5912796,"threshold_uncertainty_score":0.9996756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188419984278268,"score_gpt":0.2650084396658446,"score_spread":0.1461664412380178,"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."}}