{"id":"W2910915063","doi":"10.4095/226269","title":"Nechako Basin magnetotelluric data release: a geoscience for Mountain Pine Beetle response product","year":2009,"lang":"en","type":"report","venue":"","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Magnetotellurics; Geology; Mountain pine beetle; Forestry; Earth science; Geography; Engineering","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":[0.0002334829,0.0006296449,0.0003765882,0.001051294,0.0003341301,0.0003788143,0.0004956918,0.0003325995,0.006140719],"category_scores_gemma":[0.0005825285,0.0002730752,0.0001818102,0.001501472,0.00008383704,0.0004317879,0.0003787359,0.0003144248,0.003664527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630787,"about_ca_system_score_gemma":0.00121979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09361397,"about_ca_topic_score_gemma":0.1397343,"domain_scores_codex":[0.9998711,0.000008446115,0.000008762567,0.00002295321,0.00006516176,0.00002342946],"domain_scores_gemma":[0.9995527,0.00002621431,0.00007268647,0.00005170884,0.000241224,0.00005553498],"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":[0.001552204,0.0002707549,0.1404646,0.0005276446,0.0002472146,0.0003672855,0.0002762088,0.008167439,0.01967693,0.0006979258,0.7707061,0.05704581],"study_design_scores_gemma":[0.0004075141,0.0001405717,0.6118932,0.00008201899,0.0001760524,0.0001274259,0.0003328765,0.01173049,0.02213892,0.0003852728,0.3525004,0.00008523974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07927542,0.0001292002,0.001091381,0.000175485,0.00007310978,0.00009391376,0.9070278,0.001939176,0.01019444],"genre_scores_gemma":[0.1223267,0.0001617641,0.004662145,0.000103591,0.00005067986,0.000237714,0.8597323,0.0005046738,0.01222024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.906386,"threshold_uncertainty_score":0.1861382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0815838911657255,"score_gpt":0.3088473736040054,"score_spread":0.2272634824382799,"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."}}