{"id":"W2982115593","doi":"10.4095/295855","title":"Toward improved geological maps of northern Canada: Remote predictive mapping contributions to Operation GEM","year":2015,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geologic map; Cartography; Geography; Remote sensing; Geology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028211,0.0006540303,0.0003074387,0.002009344,0.00143974,0.002138463,0.001134942,0.0003523523,0.006361747],"category_scores_gemma":[0.004128961,0.0003379591,0.0003043645,0.004122664,0.0003958609,0.0009752593,0.001036198,0.0008423942,0.001382976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009573839,"about_ca_system_score_gemma":0.02686264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9753259,"about_ca_topic_score_gemma":0.9877357,"domain_scores_codex":[0.9995654,0.00003582659,0.00001113543,0.0000549091,0.0002511443,0.00008153173],"domain_scores_gemma":[0.9977729,0.0001152021,0.0000493824,0.0001989978,0.001765767,0.00009787465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002737381,0.0001895422,0.06921609,0.0002219811,0.0000796479,0.0002770557,0.001385667,0.1277408,0.01395668,0.01620824,0.1177325,0.6527181],"study_design_scores_gemma":[0.000100607,0.00005167997,0.104901,0.0002609601,0.0001730127,0.0001784134,0.004049574,0.4814358,0.0263284,0.008664673,0.3737424,0.0001135495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4864442,0.002522086,0.2451745,0.006778163,0.0004230274,0.0007441843,0.08362594,0.02076257,0.1535253],"genre_scores_gemma":[0.6152297,0.001676105,0.3053637,0.0003270008,0.00005238528,0.0001268503,0.0372493,0.00170933,0.03826566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467412,"threshold_uncertainty_score":0.06946331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770026264023132,"score_gpt":0.2599410139437392,"score_spread":0.2222407513035079,"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."}}