{"id":"W1161114581","doi":"","title":"The southern margin of Flemish Cap, offshore Newfoundland: processing and interpretation of seismological data provide insights into the rifting evolution","year":2008,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Geology; Continental margin; Seismology; Crust; Flemish; Continental crust; Rift; Submarine pipeline; Oceanic crust; Margin (machine learning); Paleontology; Shear zone; Structural basin; Subduction; Tectonics; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334547,0.0003245971,0.00009741267,0.0008830315,0.0006576515,0.000936509,0.0002293236,0.000175658,0.002613539],"category_scores_gemma":[0.0002966665,0.0001152312,0.00009131697,0.0009156242,0.0003546801,0.0003540402,0.000462947,0.0001786588,0.0003988565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003094651,"about_ca_system_score_gemma":0.00222421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8278866,"about_ca_topic_score_gemma":0.9506605,"domain_scores_codex":[0.9999269,0.000003320272,0.000004373956,0.00001936628,0.00001420182,0.0000317648],"domain_scores_gemma":[0.9998415,0.00001368393,0.00004385229,0.000008988553,0.00006709378,0.00002492514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001196305,0.00003120087,0.8823408,0.0001634294,0.00006960764,0.0007732476,0.0008661592,0.00155679,0.01579471,0.0001867682,0.005059956,0.09303766],"study_design_scores_gemma":[0.000001813717,0.000004555031,0.9965736,0.00001880785,0.000008318749,0.00005620457,0.0003258918,0.0002379049,0.0004913293,0.000007456671,0.002271548,0.00000256835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880536,0.001083993,0.0004091354,0.0002832963,0.00001622425,0.00002253963,0.002866005,0.00004832815,0.007216827],"genre_scores_gemma":[0.9870971,0.0008182396,0.001940594,0.00009943247,0.0000112659,0.00001489752,0.00298289,0.00001292232,0.007022594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1721134,"threshold_uncertainty_score":0.3462539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260390271204445,"score_gpt":0.2457433622355155,"score_spread":0.219704335115071,"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."}}