{"id":"W2981471341","doi":"10.4095/299385","title":"Report of 2016 activities for the surficial mapping and sampling surveys in the Tehery-Wager GEM-2 Rae Project area","year":2016,"lang":"en","type":"report","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sampling (signal processing); Geography; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.008841891,0.001062309,0.0006254251,0.00373252,0.0008809159,0.002145015,0.001024157,0.0008278283,0.02753239],"category_scores_gemma":[0.009752654,0.0006254751,0.000511974,0.003398107,0.0004478519,0.001979004,0.002880195,0.0009963352,0.02497095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002302954,"about_ca_system_score_gemma":0.02342567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07364419,"about_ca_topic_score_gemma":0.08911435,"domain_scores_codex":[0.9949688,0.0006357365,0.0004072254,0.000443173,0.002930499,0.0006145734],"domain_scores_gemma":[0.9839731,0.0008670419,0.001309086,0.00164869,0.01019343,0.002008739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001442193,0.001166716,0.05954871,0.001037129,0.00009365929,0.0003508627,0.001365697,0.002252661,0.009045579,0.004119058,0.7992211,0.1203567],"study_design_scores_gemma":[0.0001104417,0.0001911803,0.1131699,0.0002104609,0.0000273106,0.0001462284,0.0008930816,0.0006707524,0.007778528,0.0005749919,0.8761894,0.00003776307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04940125,0.001171036,0.01522939,0.002842868,0.001262833,0.003716813,0.799743,0.001618372,0.1250145],"genre_scores_gemma":[0.0387104,0.001747128,0.02419654,0.0003649679,0.0001846504,0.00371013,0.6869445,0.001062828,0.2430788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9263558,"threshold_uncertainty_score":0.1464311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975414200409513,"score_gpt":0.302952871204923,"score_spread":0.1054114511639717,"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."}}