{"id":"W1543900729","doi":"10.5772/15126","title":"Evolution of Ripple Field Architecture during Sediment Transport, as Measured by CT Scanning","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ripple; Sediment transport; Flume; Sediment; Geology; Geomorphology; Ripple marks; Bedform; Flow (mathematics); Hydrology (agriculture); Geotechnical engineering; Engineering; Mechanics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001718161,0.000379003,0.0004043408,0.00009375004,0.0001172665,0.000003957326,0.0003890645,0.0003410128,0.006596261],"category_scores_gemma":[0.000006789232,0.0003629654,0.0001922522,0.00001946588,0.0003302595,0.0000501152,0.00005029649,0.0006454834,0.0001186732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379804,"about_ca_system_score_gemma":0.00004133571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007710463,"about_ca_topic_score_gemma":0.0003104935,"domain_scores_codex":[0.9982435,0.00001370295,0.0004661492,0.0005166999,0.0004433815,0.0003165496],"domain_scores_gemma":[0.9992735,0.00002563314,0.0002315979,0.0003405321,0.00001539746,0.0001133268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001934997,0.0003262012,0.0124869,0.00111686,0.0009940821,0.0007657235,0.007558614,0.0002744208,0.9310955,0.004041666,0.002143469,0.03726161],"study_design_scores_gemma":[0.0005240186,0.0004039441,0.0002375381,0.0004682667,0.0002146461,0.0000735206,0.00001774888,0.000001689301,0.8555573,0.02657126,0.1152795,0.0006505467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0764626,0.0005912013,0.004894364,0.00006227339,0.000208205,0.0005264024,0.0000596158,0.0001483607,0.917047],"genre_scores_gemma":[0.870382,0.00001600992,0.00009569608,0.0001063418,0.00003222669,0.0000238751,0.00002196868,0.00004115449,0.1292808],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7939193,"threshold_uncertainty_score":0.9998822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00980038907440739,"score_gpt":0.1973743778465291,"score_spread":0.1875739887721217,"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."}}