{"id":"W4282560967","doi":"10.1130/g49935.1","title":"Quantitative relationships between river and channel-belt planform patterns","year":2022,"lang":"en","type":"article","venue":"Geology","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Science Foundation","keywords":"Floodplain; Geology; Channel (broadcasting); Planform; Sediment; Sedimentary rock; Hydrology (agriculture); Flood myth; Curvature; Geomorphology; Paleontology; Geometry; Geography; Geotechnical engineering; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002539368,0.00006267244,0.0001003382,0.00007007935,0.0005646023,0.00001008747,0.0001010512,0.00004076795,0.004120355],"category_scores_gemma":[0.00005221004,0.00005150171,0.00001492548,0.0001209854,0.00009153825,0.0001222651,0.00003764019,0.0002197417,0.0001370951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001759072,"about_ca_system_score_gemma":0.00001405683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113477,"about_ca_topic_score_gemma":0.0009462495,"domain_scores_codex":[0.999388,0.0001041551,0.0001247978,0.0001219866,0.0000849499,0.000176143],"domain_scores_gemma":[0.9994611,0.0003546437,0.00005224884,0.00006055837,0.00001731739,0.00005410605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001308244,0.000003129402,0.9929478,0.000006331799,0.000008415207,0.000003460825,0.001069477,0.001373822,7.053731e-8,0.00167384,0.0001606575,0.002739897],"study_design_scores_gemma":[0.0001112265,0.0003050117,0.9691889,8.322493e-7,0.000006468841,0.00002729001,0.00124747,0.001765365,9.455113e-7,0.0211882,0.006080537,0.0000776936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992778,0.0003014738,0.0004670835,0.001033765,0.000118863,0.00007749625,0.0002010181,0.00002788131,0.004994428],"genre_scores_gemma":[0.9986284,0.00002964305,0.000283972,0.0001847966,0.00002659264,0.000003747893,0.0006068964,9.073456e-7,0.0002350032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02375886,"threshold_uncertainty_score":0.99679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262443438372946,"score_gpt":0.2364345689931656,"score_spread":0.1838101346094362,"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."}}