{"id":"W4221106191","doi":"10.5281/zenodo.6104451","title":"Supporting Information for \"Conditions to preserve sedimentary record of channel planforms in temperate rivers of the Northern Hemisphere\".","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Channel (broadcasting); Sedimentary rock; Northern Hemisphere; Geology; Southern Hemisphere; Paleontology; Oceanography; Geography; Ecology; Telecommunications; Engineering; Climatology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00123724,0.001064544,0.0008600279,0.002233106,0.001068408,0.00113677,0.00192523,0.0007125842,0.6963371],"category_scores_gemma":[0.005012838,0.0004637409,0.0005057491,0.005071289,0.0001720312,0.001282473,0.001272792,0.0006619674,0.147534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007927702,"about_ca_system_score_gemma":0.001924668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246621,"about_ca_topic_score_gemma":0.05212234,"domain_scores_codex":[0.9993362,0.00008146105,0.00007412383,0.0001736769,0.000244571,0.00009004147],"domain_scores_gemma":[0.9968113,0.00094671,0.0002032132,0.0003009808,0.001453559,0.0002843059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009338445,0.00008980454,0.002913356,0.0006229862,0.00001816414,0.0000571624,0.0001005402,0.0002538898,0.0004042725,0.0006052438,0.9820696,0.01277154],"study_design_scores_gemma":[0.0004399719,0.0001173841,0.04876616,0.0009595786,0.0000592897,0.0001757845,0.0009289775,0.001576938,0.001131426,0.002937793,0.9428374,0.00006925325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006805013,0.00002349699,0.0004479567,0.00009038865,0.0001012081,0.00007410448,0.9947097,0.0002888668,0.003583761],"genre_scores_gemma":[0.005452611,0.0001174327,0.003456436,0.0001357764,0.0000780355,0.0005419407,0.9826634,0.0003173068,0.007237117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6963371,"threshold_uncertainty_score":0.4331383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278533371047804,"score_gpt":0.2199390313500846,"score_spread":0.2071536976396065,"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."}}