{"id":"W4236157308","doi":"10.4095/308230","title":"First vertical derivative of the magnetic field, aeromagnetic survey of the Marsh Lake area, Yukon, part of NTS 105-D/north","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; Marsh; Geology; Field (mathematics); Oceanography; Archaeology; Seismology; Physical geography; Geography; Magnetic field; Wetland; Physics; 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":[0.00008573879,0.0001724729,0.0001394604,0.0009338982,0.000483993,0.00029189,0.0002856584,0.0002070161,0.001875445],"category_scores_gemma":[0.0003590285,0.0001088475,0.0001309967,0.001051513,0.0001685912,0.0002275435,0.0003164408,0.0002714495,0.0003642477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327405,"about_ca_system_score_gemma":0.003282833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5783052,"about_ca_topic_score_gemma":0.7638655,"domain_scores_codex":[0.9999135,0.000006051777,0.000005352678,0.00001471989,0.00003360472,0.00002676207],"domain_scores_gemma":[0.9997166,0.00001814467,0.00003017542,0.00001491794,0.0001648821,0.00005518821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002655845,0.0001020345,0.9572649,0.0001118669,0.00009841483,0.0004112436,0.000746961,0.002002078,0.01062537,0.0007433039,0.01216501,0.01546316],"study_design_scores_gemma":[0.00001087013,0.00001284312,0.9958706,0.000003574954,0.000008734577,0.00004296199,0.0002544187,0.0004987467,0.0005196183,0.00002342359,0.002751074,0.0000031798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748852,0.00007041421,0.0002666696,0.0001290176,0.00001734672,0.00002775755,0.01872185,0.00004112731,0.005840689],"genre_scores_gemma":[0.9817438,0.00005899465,0.0004231148,0.00001737467,0.000005361838,0.00001839708,0.01188885,0.0000115564,0.005832626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4216948,"threshold_uncertainty_score":0.8483564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05874543192180518,"score_gpt":0.2233747922956247,"score_spread":0.1646293603738195,"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."}}