{"id":"W7096090030","doi":"","title":"Assessment of relative environmental risk from log yard runoff in British Columbia. Forestry Chr","year":2002,"lang":"en","type":"article","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Surface runoff; Risk management; Yard; Forest management; Range (aeronautics); Relative risk","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004677657,0.00006857236,0.0001292706,0.0000341405,0.00002199017,0.00003683241,0.0000808336,0.00006237537,0.005231658],"category_scores_gemma":[0.000005105071,0.0001112126,0.00003940833,0.00008721113,0.0000382597,0.0001157442,0.0000429508,0.0000914517,0.00003673194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030611,"about_ca_system_score_gemma":0.000001768702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003871568,"about_ca_topic_score_gemma":0.03561214,"domain_scores_codex":[0.9993343,0.0000186868,0.0002264269,0.0001415874,0.0001431175,0.0001358445],"domain_scores_gemma":[0.9997586,0.00002106146,0.00003430591,0.000143715,0.000002934903,0.00003937212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[4.96439e-7,0.0001293552,0.9780592,0.00001928244,0.00007196467,0.00001870728,0.00007888812,0.0056827,0.0001847785,0.0002081218,0.008318697,0.00722785],"study_design_scores_gemma":[0.0005275258,0.00002293179,0.8868434,0.0000224977,0.00001247293,5.845071e-7,0.0001456844,0.1086807,0.00005195762,0.0002705853,0.003306563,0.0001150595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447991,0.000202081,0.005853185,0.000008387035,0.0001276004,0.0002113598,0.0001019347,0.00009389243,0.04860248],"genre_scores_gemma":[0.9949664,0.0005635657,0.002373707,0.00002002313,0.00001259118,0.00001583796,0.00005007615,0.00001692575,0.001980836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102998,"threshold_uncertainty_score":0.9956777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005864356350415652,"score_gpt":0.1801294426898646,"score_spread":0.1742650863394489,"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."}}