{"id":"W4246596471","doi":"10.4095/298897","title":"Electromagnetic survey of the Livingstone Creek area, Yukon, parts of NTS 105-E/1 and 8","year":2016,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Archaeology; Geography","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":[0.00007988831,0.0001276887,0.0001734975,0.00105141,0.0007868036,0.0003133657,0.0004269217,0.0003243112,0.001046541],"category_scores_gemma":[0.0001693155,0.0001169492,0.0001275451,0.001262512,0.0002211482,0.0001587076,0.000399639,0.0001197807,0.0004463951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007379829,"about_ca_system_score_gemma":0.00197312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2716488,"about_ca_topic_score_gemma":0.5621674,"domain_scores_codex":[0.9998823,0.000006974256,0.00000713755,0.00002397894,0.00005448332,0.00002509156],"domain_scores_gemma":[0.9998586,0.0000082987,0.00001726791,0.00001068473,0.00007777657,0.00002728187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003523035,0.0002474207,0.8841362,0.0001865895,0.000103585,0.001641428,0.002370684,0.003738281,0.06440699,0.0005721754,0.003280964,0.03896338],"study_design_scores_gemma":[0.000009903702,0.00003600073,0.9952301,0.000005478135,0.000009222124,0.0001258117,0.0007057193,0.0009059576,0.001002392,0.00002462721,0.001939901,0.000004989483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935759,0.00002261253,0.000366643,0.00002202437,0.000002615834,0.00003089564,0.001444591,0.00003220492,0.004502554],"genre_scores_gemma":[0.9935727,0.00003796138,0.0009139028,0.00001936882,0.000002779881,0.00002156408,0.001468277,0.000005793597,0.00395778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2716488,"threshold_uncertainty_score":0.5401351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831134663534822,"score_gpt":0.2534959881718733,"score_spread":0.2251846415365251,"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."}}