{"id":"W2483992162","doi":"10.2110/sepmsp.101.111","title":"Deep-Water Microbially Induced Sedimentary Structures (MISS) in Deep Time","year":2012,"lang":"en","type":"book-chapter","venue":"SEPM (Society for Sedimentary Geology) eBooks","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microbial mat; Sedimentary rock; Siliciclastic; Geology; Paleontology; Sedimentary structures; Ridge; Earth science; Archaeology; Sedimentary depositional environment; Geography; Cyanobacteria","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005994535,0.001060932,0.001136454,0.0002552363,0.0005013641,0.00004622084,0.000759443,0.001759614,0.006515641],"category_scores_gemma":[0.000004394842,0.0009077425,0.001212265,0.00003403944,0.0007696537,0.0002418501,0.00003640466,0.001268389,0.0002231715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004592439,"about_ca_system_score_gemma":0.0001520432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387349,"about_ca_topic_score_gemma":0.006418865,"domain_scores_codex":[0.9958894,0.000082941,0.0009552795,0.001117737,0.0003853404,0.001569328],"domain_scores_gemma":[0.9983721,0.0002462526,0.0003503186,0.0005730229,0.0000696623,0.0003886707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004665594,0.0004120091,0.1389858,0.001687986,0.01907721,0.0008390516,0.02697378,0.0005182038,0.01732836,0.007619187,0.05964674,0.7222461],"study_design_scores_gemma":[0.02076429,0.00630679,0.292232,0.00065171,0.005283321,0.001415698,0.001358798,0.002980061,0.01605769,0.2105665,0.429022,0.01336114],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1610158,0.02781038,0.00007585008,0.001300463,0.004834939,0.004938887,0.001269415,0.0004187733,0.7983356],"genre_scores_gemma":[0.6433435,0.001067607,0.05116806,0.03808209,0.008872882,0.0002196868,0.02671658,0.0003081568,0.2302214],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7088849,"threshold_uncertainty_score":0.9995363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324576972872478,"score_gpt":0.2061855470123673,"score_spread":0.1929397772836425,"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."}}