{"id":"W3026559330","doi":"10.1130/gsatg459gw.1","title":"Assembling Laurentia—Integrated Theme Sessions on Tectonic Turning Points","year":2020,"lang":"en","type":"article","venue":"GSA Today","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Laurentia; Theme (computing); Tectonics; Geology; Paleontology; Computer science; World Wide Web","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":[0.005464212,0.001018917,0.0005356718,0.002246052,0.003475678,0.005289675,0.001340866,0.002194621,0.08953557],"category_scores_gemma":[0.005513539,0.0003682179,0.0007331717,0.0009546999,0.001030484,0.003545046,0.01019448,0.004247542,0.02201733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003795705,"about_ca_system_score_gemma":0.008922407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334681,"about_ca_topic_score_gemma":0.02146586,"domain_scores_codex":[0.9972065,0.00049128,0.0000896983,0.0004568823,0.0009384872,0.0008170819],"domain_scores_gemma":[0.994487,0.0003452834,0.0002291458,0.0003708116,0.001850851,0.00271689],"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":[0.0001801065,0.00009392124,0.0007537994,0.0002820688,0.00001179184,0.0002458594,0.002117119,0.0007072479,0.007673323,0.01803485,0.8330944,0.1368055],"study_design_scores_gemma":[0.000004087436,0.00002582898,0.0005642965,0.00007917739,0.000002086454,0.00002751768,0.0004704891,0.0000849242,0.0006120756,0.001501098,0.9966195,0.000008861017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03337196,0.01157343,0.04578436,0.1245254,0.1879117,0.001091268,0.003488108,0.004538967,0.5877147],"genre_scores_gemma":[0.07269477,0.003121678,0.0214681,0.007234402,0.01920525,0.0004597394,0.002745837,0.002429536,0.8706406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08953557,"threshold_uncertainty_score":0.2995263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578922929665595,"score_gpt":0.2128378803693394,"score_spread":0.1970486510726835,"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."}}