{"id":"W4392114833","doi":"","title":"Thermal evolution of hyperextended margins : the examples of Iberia-Newfoundland and northern South China Searifted margins","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Geology; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0001231434,0.0002092214,0.0002667641,0.0007391646,0.001022105,0.001359916,0.0003532703,0.0003829194,0.002820399],"category_scores_gemma":[0.00040017,0.0001205492,0.0002097415,0.001220025,0.001198506,0.0004788485,0.000886026,0.0003490888,0.0001790585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002344381,"about_ca_system_score_gemma":0.000857354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3185476,"about_ca_topic_score_gemma":0.4472404,"domain_scores_codex":[0.9999155,0.000006945124,0.000003918468,0.00002101252,0.00001310368,0.00003955249],"domain_scores_gemma":[0.9998969,0.00001141299,0.00002014363,0.00001294688,0.00003238882,0.0000261903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001959082,0.0002504455,0.6379647,0.0003224856,0.0002858105,0.004500891,0.009214373,0.2058881,0.04391327,0.009555873,0.003717501,0.08242753],"study_design_scores_gemma":[0.00002796774,0.00004113085,0.965997,0.00004981031,0.00004333269,0.0002148083,0.004916605,0.01964635,0.001528724,0.0008642347,0.006624921,0.00004518392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929922,0.0001355422,0.0002468321,0.00007129004,0.000007788157,0.000004072625,0.0002186372,0.00002688733,0.006296762],"genre_scores_gemma":[0.9988639,0.00004365373,0.0001408556,0.00001070259,0.000002150504,0.000002642457,0.00009938401,0.0000133829,0.0008232956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6814524,"threshold_uncertainty_score":0.6333869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008143891734514151,"score_gpt":0.187940769373606,"score_spread":0.1797968776390918,"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."}}