{"id":"W2981432894","doi":"10.4095/215541","title":"Shaded magnetic first vertical derivative, 106K/NW-NE, Yukon Territory/ Northwest Territories","year":2004,"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":"Geology; Derivative (finance); Physical geography; Climatology; Geography; Geodesy","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":[0.00008274968,0.0003613804,0.0002323315,0.001177109,0.0007572699,0.0004306357,0.0005077292,0.0002469954,0.03422176],"category_scores_gemma":[0.0003449939,0.0001534877,0.0001074111,0.002335347,0.0001593109,0.0003659141,0.0002880773,0.000350904,0.006204549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116916,"about_ca_system_score_gemma":0.002873021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6165138,"about_ca_topic_score_gemma":0.7736935,"domain_scores_codex":[0.9998808,0.000008600833,0.000007001355,0.00002052041,0.00004270761,0.00004034077],"domain_scores_gemma":[0.9995723,0.00002782162,0.00004300992,0.00003897618,0.0002484965,0.00006939633],"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":[0.0007144078,0.000217261,0.2630717,0.0003960005,0.00005679545,0.0005453734,0.0007945714,0.003198386,0.004720999,0.001607364,0.6573295,0.06734759],"study_design_scores_gemma":[0.0000527412,0.00004088094,0.8581522,0.00002080204,0.00001952433,0.0001448099,0.0009246394,0.0007350545,0.001883178,0.000144549,0.137871,0.00001061776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2376566,0.0003979427,0.0005371624,0.0004843523,0.0001431965,0.0002283831,0.605528,0.0007325249,0.1542918],"genre_scores_gemma":[0.4441105,0.0006227096,0.00170625,0.0001049792,0.00005403929,0.00021673,0.2995811,0.000209789,0.2533937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3834862,"threshold_uncertainty_score":0.7714891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324659057750181,"score_gpt":0.226559597779384,"score_spread":0.1933130072018822,"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."}}