{"id":"W4248841684","doi":"10.4095/308233","title":"Residual total magnetic field, aeromagnetic survey of the Marsh Lake area, Yukon, part of NTS 105-E/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; Residual; Archaeology; Field (mathematics); Physical geography; Oceanography; Geography; Magnetic field; Wetland; Ecology; Physics; 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":[0.0000888245,0.0002196757,0.0001598154,0.0008527186,0.0006922626,0.0003116989,0.0003914651,0.0002241749,0.0019068],"category_scores_gemma":[0.0002720677,0.0001472695,0.0001373607,0.001134569,0.0001686695,0.00026644,0.0003977754,0.0002089171,0.0005379102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314244,"about_ca_system_score_gemma":0.005061559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7211632,"about_ca_topic_score_gemma":0.8382,"domain_scores_codex":[0.999907,0.000006747083,0.000008866031,0.000015978,0.00003708795,0.00002432203],"domain_scores_gemma":[0.9997033,0.00001253556,0.00002833635,0.00001696864,0.0001882735,0.00005044275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002833797,0.000117123,0.9584663,0.0001555464,0.0001041938,0.0004935438,0.001248356,0.0007612332,0.01135407,0.000343728,0.01190247,0.01477006],"study_design_scores_gemma":[0.00001716295,0.00002558614,0.9940592,0.000006982798,0.0000153462,0.00004949839,0.00076802,0.0003225147,0.0005472695,0.00001358306,0.004171515,0.000003355768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705406,0.00006338258,0.0001955023,0.00007723505,0.000009730719,0.000055655,0.02361087,0.00003975079,0.005407229],"genre_scores_gemma":[0.9635912,0.00009451644,0.0005994675,0.00003777214,0.000004853478,0.00005847976,0.02451662,0.00001341585,0.01108356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2788368,"threshold_uncertainty_score":0.5609579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0586585531410508,"score_gpt":0.2271609677051678,"score_spread":0.168502414564117,"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."}}