{"id":"W7099888004","doi":"","title":"FOREST RENEWAL BC Terrestrial Ecosystem Mapping with Wildlife Interpretations of portions of mapsheets","year":2000,"lang":"en","type":"article","venue":"","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Willow; Ecosystem; Vegetation (pathology); Wetland; Plateau (mathematics); Terrestrial ecosystem; Wildlife conservation","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":[],"consensus_categories":[],"category_scores_codex":[0.0006133752,0.0002639833,0.0001360407,0.005159408,0.001512366,0.001349046,0.0005911136,0.0001502231,0.01172843],"category_scores_gemma":[0.001284915,0.0002433303,0.0002066671,0.006686289,0.0003370951,0.0005476019,0.001096514,0.000312586,0.001518516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002427211,"about_ca_system_score_gemma":0.003860632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5188935,"about_ca_topic_score_gemma":0.8698651,"domain_scores_codex":[0.9995782,0.00006805721,0.00001683092,0.000084633,0.0001669555,0.00008544765],"domain_scores_gemma":[0.9991186,0.0000764319,0.00009214375,0.0001205429,0.000496295,0.00009587796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001838026,0.00009931865,0.3513264,0.0003829307,0.0001130725,0.0004779446,0.00870008,0.007262107,0.007057718,0.007616446,0.05896382,0.5578163],"study_design_scores_gemma":[0.00001811004,0.00002483876,0.7643521,0.0001583897,0.00004907665,0.0001912804,0.006662055,0.01265536,0.003360206,0.001715356,0.2107721,0.00004106104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5525844,0.0004704971,0.04933937,0.0003092357,0.00006754822,0.001612213,0.08508586,0.002641332,0.3078896],"genre_scores_gemma":[0.7664859,0.0004305254,0.1331849,0.00005872548,0.00002268045,0.001227876,0.0281023,0.000605407,0.06988174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4811065,"threshold_uncertainty_score":0.9678797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873410219034564,"score_gpt":0.1893014343714475,"score_spread":0.1805673321811018,"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."}}