{"id":"W4321125771","doi":"10.4095/331420","title":"Status of surficial geology mapping in northern Canada","year":2023,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geologic map; Geology; Structural geology; Regional geology; Geological survey; Regional studies; Digital mapping; Geomorphology; Cartography; Archaeology; Physical geography; Geochemistry; Remote sensing; Paleontology; Geography; Tectonics; Telmatology; Regional development; Regional science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004070957,0.0001444575,0.0005158842,0.0001907758,0.00003087904,0.000005870961,0.0001650647,0.000192984,0.00198469],"category_scores_gemma":[0.000330049,0.0001076307,0.00008394355,0.0004086522,0.00003314454,0.00001232717,0.00001593693,0.0002488993,0.0000617381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002678029,"about_ca_system_score_gemma":0.003078001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991734,"about_ca_topic_score_gemma":0.9999644,"domain_scores_codex":[0.9981624,0.00006050484,0.0004835451,0.0002908145,0.0005188119,0.0004839581],"domain_scores_gemma":[0.9992589,0.0001736616,0.0001670239,0.0001512169,0.0001490182,0.0001001241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001783176,0.000002772437,0.9156677,0.00002986454,0.00002775314,0.00006631994,0.00001132156,0.06521158,7.351406e-8,5.872607e-7,0.001433675,0.01754662],"study_design_scores_gemma":[0.00005453415,0.00002025323,0.9496728,0.0000271686,0.00001653681,0.000003196329,0.0002035534,0.01317662,2.823257e-7,0.0001206506,0.03652965,0.0001747909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8539857,0.001401172,0.00006310103,0.0002827812,0.001461231,0.0001075883,0.0003147187,0.00004740823,0.1423363],"genre_scores_gemma":[0.9911436,0.001116278,0.00006896046,0.00003850437,0.0001300323,3.998669e-7,0.0008727667,0.000003312434,0.006626121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137158,"threshold_uncertainty_score":0.9989277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08020134730497212,"score_gpt":0.2579219899694157,"score_spread":0.1777206426644436,"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."}}