{"id":"W1545955362","doi":"10.22230/jem.2009v10n2a423","title":"British Columbia's Northern Interior Forests: Warren Root Collar Weevil Stand Establishment Decision Aid","year":2009,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Northern British Columbia; Canadian Forest Service; Ministry of Forests","funders":"","keywords":"Weevil; Mountain pine beetle; Pinus contorta; Biology; Agroforestry; Collar; Forest management; Reforestation; Forestry; Ecology; Geography; Agronomy; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008715702,0.0001455965,0.0003391236,0.00007417313,0.0001813028,0.0003879364,0.0003211705,0.0000668498,0.001253984],"category_scores_gemma":[0.00002164614,0.0001648211,0.0001032405,0.0001876612,0.00005037625,0.0003962088,0.0002460395,0.0001278024,0.00003366551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378546,"about_ca_system_score_gemma":0.00001045715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719959,"about_ca_topic_score_gemma":0.32915,"domain_scores_codex":[0.9982445,0.00005397883,0.000683795,0.0002659424,0.0004328396,0.0003189366],"domain_scores_gemma":[0.9991288,0.00002797171,0.0004155011,0.0002166536,0.0000320647,0.0001789777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002818398,0.0006133187,0.3026876,0.0002428477,0.0003531888,0.003521672,0.000299046,0.001421498,0.00006071657,0.000297852,0.4219486,0.2682719],"study_design_scores_gemma":[0.002205256,0.001165831,0.5234057,0.0004654411,0.0001128109,0.0005474591,0.0002876519,0.0002739811,0.000004904999,0.002166048,0.4691041,0.0002608243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884494,0.0006433487,0.0017548,0.0002267163,0.0007458446,0.000614303,0.000005239008,0.00001708291,0.007543259],"genre_scores_gemma":[0.9954569,0.0008722931,0.000941284,0.0002247496,0.00008439623,0.00001363404,0.000002019938,0.00001284547,0.00239183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.32743,"threshold_uncertainty_score":0.999659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004171955228792297,"score_gpt":0.1972709977155549,"score_spread":0.1930990424867626,"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."}}