{"id":"W3097077498","doi":"10.1130/abs/2020am-351008","title":"THE RIFTING AND REASSEMBLY OF QUEBECIA: A TALE OF ANDEAN STYLE 1.50–1.35 GA ARC DYNAMICS IN THE SOUTHEASTERN LAURENTIAN MARGIN","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geological and Tectonic Studies in Latin America","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Margin (machine learning); Rift; Geology; Style (visual arts); Arc (geometry); Dynamics (music); Paleontology; History; Computer science; Archaeology; Physics; Geometry; Tectonics; Mathematics","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":[0.0003558078,0.000236691,0.0002298843,0.001511759,0.00510999,0.00244659,0.000939942,0.0008498735,0.01042964],"category_scores_gemma":[0.001926343,0.0002253727,0.0001996537,0.002021892,0.003081142,0.0009868109,0.001217423,0.001030687,0.0002984312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03978646,"about_ca_system_score_gemma":0.02019867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915121,"about_ca_topic_score_gemma":0.9975252,"domain_scores_codex":[0.9998222,0.00001355688,0.000004953716,0.00003506761,0.0000428624,0.00008131527],"domain_scores_gemma":[0.9994203,0.0000533324,0.00007925071,0.00002819897,0.0003051594,0.0001139016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009963886,0.0001445854,0.4623933,0.0006692819,0.0005256596,0.005649116,0.08888565,0.0167812,0.02096948,0.07873845,0.08848231,0.2357645],"study_design_scores_gemma":[0.00002670531,0.00003641004,0.7956995,0.0002948276,0.00005318912,0.0004274677,0.01769483,0.002549154,0.0007191456,0.001795704,0.1806325,0.00007051577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673586,0.005360546,0.001040209,0.01027316,0.0002059779,0.0001048797,0.002376986,0.0001087805,0.1131708],"genre_scores_gemma":[0.9832348,0.0008229127,0.0004104155,0.000566921,0.00001876167,0.00001081296,0.0002886714,0.00003805137,0.01460877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03978646,"threshold_uncertainty_score":0.2886723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574879723445372,"score_gpt":0.217718077664727,"score_spread":0.2019692804302733,"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."}}