{"id":"W2996710343","doi":"10.1139/cjfr-2019-0338","title":"Deadman anchoring design for cable logging: a new approach","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anchoring; Logging; Terrain; Variety (cybernetics); Resistance (ecology); Forestry; Perspective (graphical); Douglas fir; Engineering; Environmental science; Computer science; Structural engineering; Geography; Ecology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029487,0.001552933,0.0007043499,0.002072387,0.0006079815,0.002230889,0.001568703,0.0007471862,0.005624264],"category_scores_gemma":[0.001821247,0.0005456713,0.0005437827,0.001091922,0.0009654859,0.001951964,0.0008067425,0.001006203,0.001404586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509289,"about_ca_system_score_gemma":0.001718301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005194819,"about_ca_topic_score_gemma":0.007901952,"domain_scores_codex":[0.998875,0.0001995525,0.00008688892,0.000112794,0.0006628799,0.00006283827],"domain_scores_gemma":[0.9986082,0.0001603093,0.0001718261,0.0001546028,0.0008544109,0.00005082037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001432855,0.000138199,0.003299184,0.000783718,0.00003128978,0.0003094398,0.0005966005,0.2949923,0.02349683,0.1089049,0.01273574,0.5545685],"study_design_scores_gemma":[0.0000578121,0.001026375,0.003675041,0.0003870293,0.0001268002,0.0006425353,0.0005352873,0.6362069,0.01427736,0.06141144,0.2814433,0.0002100555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01858661,0.00141345,0.9508212,0.0003048509,0.0002663542,0.0002741933,0.0001732148,0.001023744,0.02713637],"genre_scores_gemma":[0.2835491,0.004103705,0.673848,0.000260307,0.0003147435,0.0004255784,0.0005731209,0.0005092125,0.03641624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005624264,"threshold_uncertainty_score":0.01881504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036613899824204,"score_gpt":0.3025004974620295,"score_spread":0.1988391074796091,"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."}}