{"id":"W4229942239","doi":"10.4095/248038","title":"Time domain electromagnetic anomalies, HELIGEOTEM survey of Cariboo Lake, NTS 93 A/12 NE, British Columbia","year":2009,"lang":"en","type":"report","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Domain (mathematical analysis); Geology; Geography; Archaeology; 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":[0.0001895525,0.0002311192,0.0001955141,0.002027167,0.001793648,0.0005694143,0.0007109973,0.0002534827,0.004622095],"category_scores_gemma":[0.0007968142,0.0001868517,0.0001044023,0.003612603,0.0002161657,0.0002328553,0.0005175805,0.0003606198,0.001089551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004790939,"about_ca_system_score_gemma":0.0104111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880173,"about_ca_topic_score_gemma":0.996702,"domain_scores_codex":[0.9998069,0.0000140972,0.000009775655,0.0000296744,0.00009885262,0.00004075918],"domain_scores_gemma":[0.999329,0.0000329055,0.00003946612,0.00002468549,0.0005038999,0.00007009417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001957683,0.0002020824,0.7939661,0.0002821231,0.0001068675,0.0006852091,0.002376189,0.003307136,0.006276653,0.001176244,0.07864178,0.1127838],"study_design_scores_gemma":[0.00001606743,0.00001035636,0.9778345,0.00005163829,0.00001818893,0.00006344311,0.001272789,0.001292946,0.0007444326,0.00007187045,0.01861193,0.00001193464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224365,0.0008135546,0.001319817,0.0005612424,0.00003625212,0.0001860494,0.1102622,0.0002681376,0.06411622],"genre_scores_gemma":[0.8595002,0.001049843,0.003263625,0.0001632901,0.00001594046,0.0001245557,0.04056102,0.00009292224,0.09522845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198268,"threshold_uncertainty_score":0.03476083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771304979570833,"score_gpt":0.2307627410159802,"score_spread":0.2130496912202718,"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."}}