{"id":"W166852427","doi":"","title":"INSECT REARING - A TOOL FOR DETECTING NON-INDIGENOUS WOOD BORING INSECTS","year":2009,"lang":"en","type":"article","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Brood; Geography; Bark (sound); Bark beetle; Forestry; Ecology; Biology","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":[0.001002489,0.0007941157,0.0004533959,0.003536476,0.0009789915,0.0004377008,0.0009706773,0.0004922196,0.004336634],"category_scores_gemma":[0.0008705478,0.0004320312,0.0003996371,0.001462391,0.0003310027,0.0002819284,0.0005004899,0.0005138617,0.002191306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584589,"about_ca_system_score_gemma":0.001343349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07114562,"about_ca_topic_score_gemma":0.2825246,"domain_scores_codex":[0.9987341,0.0001375789,0.00009586098,0.0002172371,0.0006910326,0.0001242914],"domain_scores_gemma":[0.9988814,0.0001939096,0.000209161,0.0001118623,0.0004011358,0.0002024148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003808046,0.0005445956,0.1983316,0.001092709,0.00006487732,0.0009666264,0.001417991,0.0002355372,0.6249256,0.000457643,0.009565282,0.1620167],"study_design_scores_gemma":[0.00009599324,0.001664585,0.7846975,0.0005052715,0.0001806165,0.002515295,0.001047885,0.00173101,0.139994,0.0001405145,0.06732615,0.0001011304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7391682,0.007996374,0.11399,0.0005010262,0.0004259647,0.009500606,0.02663675,0.005908604,0.09587259],"genre_scores_gemma":[0.4094047,0.006916904,0.522898,0.0009391329,0.0001005398,0.004192672,0.01555935,0.0003075992,0.03968124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07114562,"threshold_uncertainty_score":0.141463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115628789980927,"score_gpt":0.2223261178732447,"score_spread":0.210763238875152,"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."}}