{"id":"W4402599598","doi":"10.4095/p4vptgc1s2","title":"Recent research in support of a low-carbon economy at the Geological Survey of Canada - Atlantic","year":2024,"lang":"en","type":"report","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geological survey; XML; Survey research; Carbon fibers; Geology; Oceanography; Geochemistry; Business; Computer science; World Wide Web; Paleontology; Business administration","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":[0.001528184,0.0003351628,0.000234602,0.002244559,0.002319789,0.002141079,0.00096674,0.0005647953,0.01373191],"category_scores_gemma":[0.004145051,0.0001829312,0.0002563112,0.005751234,0.0004926191,0.0007071058,0.0007932115,0.0007737447,0.001210735],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03427672,"about_ca_system_score_gemma":0.14504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962031,"about_ca_topic_score_gemma":0.9986479,"domain_scores_codex":[0.9987152,0.00008006034,0.0000315678,0.00005859541,0.0008076942,0.0003070013],"domain_scores_gemma":[0.9900974,0.0005910278,0.0001949778,0.000144908,0.007936141,0.001035582],"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":[0.0002389217,0.000111901,0.111559,0.0009467045,0.00009838653,0.0002429259,0.002245263,0.001946997,0.002072355,0.01866344,0.7630632,0.09881091],"study_design_scores_gemma":[0.00004980976,0.00002929911,0.4229594,0.0002863788,0.00007855278,0.00005360718,0.003814148,0.001656623,0.003159975,0.001494784,0.5663668,0.00005069736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1422479,0.003954357,0.003356989,0.06895993,0.0009886007,0.0004414631,0.4743899,0.001138485,0.3045225],"genre_scores_gemma":[0.3917241,0.009751978,0.01514496,0.005680461,0.0002493295,0.0002930636,0.2090566,0.0005789182,0.3675206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9657233,"threshold_uncertainty_score":0.2486962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08958581156644185,"score_gpt":0.3149732626216842,"score_spread":0.2253874510552423,"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."}}