{"id":"W2763276108","doi":"10.1139/cjfr-2017-0033","title":"Forest pests and their management in the Anthropocene","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosecurity; Integrated pest management; Environmental resource management; Agriculture; Forest management; Business; Climate change; Mountain pine beetle; Food security; Agroforestry; Adaptation (eye); Environmental planning; Work (physics); Natural resource economics; Geography; Ecology; Economics; Environmental science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002576392,0.00008945179,0.0001151387,0.0002237454,0.001015723,0.0002119366,0.001148474,0.00005159935,0.0003986123],"category_scores_gemma":[0.0001510328,0.00005648526,0.00003674852,0.0001485977,0.001347728,0.0002702508,0.0001735384,0.0004196415,0.00006415443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996123,"about_ca_system_score_gemma":0.00008038512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0168541,"about_ca_topic_score_gemma":0.6937152,"domain_scores_codex":[0.998727,0.0001359233,0.000187868,0.0001476099,0.0002745484,0.0005270481],"domain_scores_gemma":[0.9990914,0.0000853137,0.000091136,0.0004316893,0.00002366602,0.0002767929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001682654,0.00002763147,0.9688696,0.00001080766,0.00001847083,0.0009788247,0.0006305063,0.0002061935,0.000004512377,0.007501756,0.01106417,0.01067069],"study_design_scores_gemma":[0.0002786187,0.0001604731,0.9554347,0.0000246906,0.000003673571,0.0001035221,0.0005665196,0.00006336411,0.000005698007,0.01804366,0.02525593,0.00005918159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430482,0.0001450598,0.00001577169,0.002737056,0.0001360157,0.0002470192,0.000001785437,0.000001040172,0.05366803],"genre_scores_gemma":[0.9991833,0.0001731843,0.00008236161,0.000141003,0.00004950553,0.00001014026,5.759431e-7,0.000007244279,0.0003526868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6768611,"threshold_uncertainty_score":0.9896927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142221929752481,"score_gpt":0.3175121149119022,"score_spread":0.2760898956143774,"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."}}