{"id":"W2285606799","doi":"10.2495/978-1-84564-091-0/05","title":"Fine particles in small steepland streams: physical, ecological, and human connections","year":2008,"lang":"en","type":"book-chapter","venue":"WIT transactions on state-of-the-art in science and engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"STREAMS; Environmental science; Ecology; Geography; Computer science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001560287,0.0001444055,0.0002013102,0.0000955801,0.0001940805,0.000008471673,0.0001784208,0.00006264526,0.00004898348],"category_scores_gemma":[0.000008133618,0.0001025989,0.00003726498,0.0002392813,0.001007677,0.0001230237,0.00001420422,0.0002737345,0.000002286596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000435137,"about_ca_system_score_gemma":0.00002549356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006342649,"about_ca_topic_score_gemma":0.002116662,"domain_scores_codex":[0.9991263,0.00000691489,0.0002289832,0.0002673921,0.0001835453,0.0001868923],"domain_scores_gemma":[0.9996578,0.00007416934,0.00005552794,0.0001556448,0.000009841062,0.00004703456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007994331,0.001095717,0.03162818,0.0002957783,0.00006416764,0.0000354479,0.006545845,0.9061807,0.02741113,0.002114239,0.00006626859,0.02448258],"study_design_scores_gemma":[0.007336411,0.004061666,0.7093752,0.003436857,0.0005138881,0.0002858948,0.0004722967,0.07425555,0.1264758,0.01627647,0.05320195,0.004308096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975871,0.00003438652,0.0002685291,0.00008850552,0.00005819887,0.0001846501,0.00001547666,0.00001089225,0.001752284],"genre_scores_gemma":[0.9987001,0.0001245149,0.00005239086,0.00001440631,0.000003048528,0.00001372145,5.454655e-7,0.000007339678,0.001083908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8319252,"threshold_uncertainty_score":0.4183862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352384418244132,"score_gpt":0.2033753862165795,"score_spread":0.1898515420341382,"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."}}