{"id":"W7100211921","doi":"","title":"Resource Tenures and Engineering Branch Best Management Practices Handbook: Hillslope Restoration in British Columbia","year":2001,"lang":"en","type":"article","venue":"","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Best practice; Watershed; Resource (disambiguation); Resource management (computing); Watershed management","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":[],"consensus_categories":[],"category_scores_codex":[0.0001209849,0.00007766465,0.0001272062,0.00004606248,0.00006351228,0.0002264009,0.00005305836,0.00004273947,0.00002657968],"category_scores_gemma":[0.00004858989,0.0001215495,0.00001483921,0.0001543571,0.00001774229,0.000212888,0.00003656606,0.00009487145,0.000004785967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004535618,"about_ca_system_score_gemma":0.000001887585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003345964,"about_ca_topic_score_gemma":0.5740847,"domain_scores_codex":[0.9993672,0.00001078569,0.0001690423,0.000164444,0.0001034661,0.0001850817],"domain_scores_gemma":[0.9997622,0.00005174135,0.0000229361,0.0001131976,0.00001343398,0.00003652071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001233946,0.00008964099,0.878456,0.0004135903,0.0001027809,0.0001379314,0.0007404208,0.008479787,0.0003910309,0.00004388655,0.01567602,0.09545656],"study_design_scores_gemma":[0.0004767628,0.00003024,0.8437992,0.0001680052,0.00001801682,0.00002321676,0.0004627834,0.003576739,0.00001804513,0.0000465731,0.1511506,0.0002297523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865459,0.003834578,0.0004727966,0.0001197033,0.00008378881,0.0002132384,0.000002488267,0.0002072589,0.008520297],"genre_scores_gemma":[0.9964275,0.0009823722,0.0007201246,0.00001121376,0.00004811909,0.00003199136,0.000004000352,0.00001770202,0.001756963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5707387,"threshold_uncertainty_score":0.5058119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142605153644486,"score_gpt":0.2085024983516977,"score_spread":0.1970764468152528,"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."}}