{"id":"W2871914972","doi":"10.4095/308232","title":"First vertical derivative of the magnetic field, aeromagnetic survey of the Marsh Lake area, Yukon, part of NTS 105-E/south","year":2018,"lang":"en","type":"report","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Aeromagnetic survey; Geology; Marsh; Field (mathematics); Geomorphology; Physical geography; Geodesy; Magnetic field; Geography; Physics; Wetland; Ecology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007327062,0.0001624964,0.000134301,0.0009019528,0.0005248172,0.0002863551,0.0002774182,0.0002064339,0.002079932],"category_scores_gemma":[0.0003320616,0.0001069009,0.0001248292,0.001012558,0.0001750662,0.0002159721,0.0003305288,0.0002702294,0.0003835162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232846,"about_ca_system_score_gemma":0.003254715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5686854,"about_ca_topic_score_gemma":0.7614264,"domain_scores_codex":[0.9999216,0.000005351609,0.000005040996,0.00001301732,0.00002958565,0.00002543993],"domain_scores_gemma":[0.9997401,0.00001693638,0.00002759832,0.0000130495,0.0001480835,0.00005413443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000224525,0.00009150343,0.9610133,0.0001009832,0.00008356404,0.0004238773,0.0008521785,0.001497444,0.01072884,0.0006753178,0.01001679,0.0142916],"study_design_scores_gemma":[0.000009932371,0.0000119831,0.9963306,0.000003438623,0.000007727553,0.00004460193,0.0003103845,0.0004156493,0.0004190747,0.0000211044,0.00242275,0.000002899142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980802,0.00005602865,0.0001922965,0.000112904,0.00001303438,0.00002465506,0.01362834,0.00003090082,0.005139912],"genre_scores_gemma":[0.9845186,0.00005168442,0.0003392115,0.00001595995,0.000004637473,0.00001730096,0.009258836,0.000009133184,0.005784515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4313146,"threshold_uncertainty_score":0.8677095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06263384561622001,"score_gpt":0.2249296055333332,"score_spread":0.1622957599171131,"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."}}