{"id":"W2478034860","doi":"10.2110/sepmsp.105.15","title":"Sequence Stratigraphic Architecture and Evolution of Platform Margin to Basin Sedimentation","year":2014,"lang":"en","type":"book-chapter","venue":"SEPM (Society for Sedimentary Geology) eBooks","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; University of Alberta","funders":"","keywords":"Margin (machine learning); Sequence (biology); Sedimentation; Geology; Architecture; Structural basin; Paleontology; Geomorphology; Computer science; Geography; Biology; Archaeology; Sediment; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003832525,0.0003935207,0.000475869,0.0001517421,0.0002753288,0.00002634938,0.0002405896,0.000443794,0.0007421013],"category_scores_gemma":[0.00001179924,0.0003358557,0.0003161828,0.00004904673,0.0003990754,0.00009662648,0.00003674576,0.0003263628,0.00002403288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001998627,"about_ca_system_score_gemma":0.0001065426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009730431,"about_ca_topic_score_gemma":0.001178693,"domain_scores_codex":[0.9983029,0.00001762251,0.0005166679,0.0004896134,0.0002860551,0.0003870894],"domain_scores_gemma":[0.9989186,0.0002422999,0.0003172524,0.0002272628,0.0001145593,0.000180039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002309415,0.0001100881,0.1388384,0.007009917,0.004056775,0.00002214839,0.01122198,0.01163666,0.001186561,0.2719407,0.03629655,0.5153708],"study_design_scores_gemma":[0.003322397,0.007791224,0.04987824,0.000680188,0.001083507,0.0001895916,0.001358891,0.00570215,0.0009822062,0.5863721,0.3399453,0.002694276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5601144,0.006677557,0.02595232,0.005283462,0.002591408,0.0101043,0.007844687,0.0005271146,0.3809047],"genre_scores_gemma":[0.8977185,0.0002024368,0.0396792,0.004781364,0.0004434676,0.00004627696,0.004051403,0.00003703725,0.05304033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5126765,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185344604509829,"score_gpt":0.2191011937685341,"score_spread":0.2005667333175512,"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."}}