{"id":"W1969566724","doi":"10.1016/j.geomorph.2010.09.030","title":"Making riverscapes real","year":2011,"lang":"en","type":"article","venue":"Geomorphology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":215,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Fluvial; Geology; Channel (broadcasting); Elevation (ballistics); Froude number; Habitat; Structural basin; Scale (ratio); Hydrology (agriculture); Remote sensing; Ecology; Geomorphology; Cartography; Geography; Computer science; Flow (mathematics); Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004598696,0.0007300183,0.0003771319,0.001388568,0.002754734,0.01090526,0.001720361,0.00243611,0.03144586],"category_scores_gemma":[0.01556984,0.0006053125,0.000599461,0.001419736,0.008385067,0.01952497,0.006509664,0.003560563,0.005195242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111475,"about_ca_system_score_gemma":0.002817772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00862159,"about_ca_topic_score_gemma":0.01259615,"domain_scores_codex":[0.9962313,0.001766136,0.0001487366,0.0007939629,0.0007008506,0.0003591907],"domain_scores_gemma":[0.9944583,0.001281601,0.0003119049,0.002288599,0.001010089,0.0006495473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005214918,0.00003296927,0.002556974,0.0001298966,0.00005507799,0.0001560341,0.002772524,0.008338205,0.0009324473,0.8365777,0.06375857,0.08463737],"study_design_scores_gemma":[0.00002186536,0.00001609098,0.0007989245,0.0001149015,0.0000372496,0.0001117484,0.003981649,0.003233343,0.0006214804,0.4388304,0.5521814,0.00005092719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08133972,0.003078802,0.2350772,0.1284501,0.008531842,0.0001190628,0.002679729,0.006450262,0.5342733],"genre_scores_gemma":[0.8018231,0.002632605,0.08232117,0.00771227,0.0009852585,0.0002162631,0.001878471,0.002865747,0.09956501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03144586,"threshold_uncertainty_score":0.1051969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898777678553644,"score_gpt":0.2400924681021419,"score_spread":0.2011046913166055,"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."}}