{"id":"W7011463312","doi":"","title":"Mill Run Trail Speed River Chilligo Creek","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mill; Hydrology (agriculture); River bed; Drainage basin; Vegetation (pathology)","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":["insufficient_payload"],"category_scores_codex":[0.0001565433,0.0004895796,0.0003388769,0.000932246,0.003555664,0.002153796,0.0006597096,0.0004631194,0.373308],"category_scores_gemma":[0.0005157834,0.0003784136,0.0001665141,0.00154055,0.0005565953,0.0006267506,0.001292425,0.0005729929,0.1004035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004087592,"about_ca_system_score_gemma":0.005965699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6686314,"about_ca_topic_score_gemma":0.9522167,"domain_scores_codex":[0.9996425,0.00001022251,0.000004832854,0.00006400994,0.0002135784,0.00006489448],"domain_scores_gemma":[0.9996219,0.00001478129,0.00001487614,0.00002953101,0.0002042701,0.0001146404],"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":[0.00007519387,0.00001841531,0.003631462,0.00009470695,0.000003719153,0.0001308169,0.0004265283,0.0000808258,0.0008696524,0.001206794,0.9483531,0.04510885],"study_design_scores_gemma":[0.00001757206,0.00002011613,0.01868499,0.0001027411,0.000005623457,0.00007845803,0.0008673327,0.0001241393,0.0003539838,0.0001799732,0.979548,0.00001695094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0132457,0.0005543223,0.0009315949,0.0007497749,0.0004026392,0.0001592482,0.01580656,0.001495786,0.9666545],"genre_scores_gemma":[0.03182846,0.0006058807,0.001977129,0.0001577698,0.0000418619,0.00007317121,0.008630794,0.0006726094,0.9560124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6686314,"threshold_uncertainty_score":0.8939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008726489494625548,"score_gpt":0.1868532992296444,"score_spread":0.1781268097350189,"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."}}