{"id":"W4390692053","doi":"10.46887/2023-011","title":"Enhancements of airborne geophysical data from NWT Assessment Report 084225, GEM Property, Lac de Charloit area, Northwest Territories (parts of NTS 075N16)","year":2024,"lang":"en","type":"paratext","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Remote sensing; Cartography; Geography; Physical geography","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":[0.0008635531,0.0005151029,0.0002532529,0.001531457,0.0003535476,0.0008170623,0.0006310705,0.0003831106,0.03185217],"category_scores_gemma":[0.002390214,0.0003537996,0.0002773468,0.002413105,0.0001016189,0.0005674963,0.0004004543,0.0003387412,0.01784635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009370092,"about_ca_system_score_gemma":0.003043587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.336919,"about_ca_topic_score_gemma":0.45826,"domain_scores_codex":[0.9992886,0.00008910897,0.00004866423,0.00007466387,0.0004301882,0.00006873218],"domain_scores_gemma":[0.9981617,0.0001974482,0.0001122867,0.0002679053,0.0011652,0.00009543108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003908834,0.0003116383,0.04079763,0.0001848127,0.0000430834,0.0001987711,0.0002597632,0.006032886,0.003162513,0.0008312438,0.8733251,0.07446168],"study_design_scores_gemma":[0.0002359918,0.0001017508,0.2667035,0.00007434181,0.00005714282,0.00008308976,0.0005092421,0.008859118,0.005501708,0.0005383143,0.7172937,0.00004214645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03409979,0.00005431717,0.002522499,0.0003727416,0.000224709,0.0003577037,0.8964601,0.002011441,0.06389679],"genre_scores_gemma":[0.07231391,0.0001464442,0.01108605,0.0001352209,0.00008874211,0.0005188788,0.8183171,0.0006574747,0.09673612],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.663081,"threshold_uncertainty_score":0.6699157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047622060886736,"score_gpt":0.2672148586036585,"score_spread":0.2467386379947911,"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."}}