{"id":"W3049338727","doi":"","title":"IMPACT OF TRAP DESIGN FACTORS AND DEPLOYMENT METHODOLOGY ON THE PERFORMANCE OF SEMIOCHEMICAL-BAITED INTERCEPT TRAPS FOR FOREST Coleoptera.","year":2019,"lang":"en","type":"article","venue":"Caderno Verde de Agroecologia e Desenvolvimento Sustentável","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Trap (plumbing); Abundance (ecology); Semiochemical; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01691068,0.0008620482,0.0006100734,0.0007849464,0.0003890277,0.001132954,0.0007647083,0.0007649259,0.0007176672],"category_scores_gemma":[0.03061729,0.0005769911,0.00111945,0.001155337,0.0005018899,0.0009461084,0.0004995764,0.0004848207,0.0002473769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699674,"about_ca_system_score_gemma":0.0005664636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564994,"about_ca_topic_score_gemma":0.004261888,"domain_scores_codex":[0.9839621,0.01056494,0.00183547,0.001263878,0.002074012,0.0002995769],"domain_scores_gemma":[0.9401605,0.04455535,0.009988279,0.00204175,0.002711853,0.0005421974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01321762,0.001656431,0.4215986,0.01321992,0.01072497,0.0003983616,0.002120825,0.01517478,0.1261135,0.0003773295,0.001466073,0.3939314],"study_design_scores_gemma":[0.0005743981,0.02946519,0.8598017,0.001289124,0.009215101,0.001403441,0.001430347,0.008403626,0.07561518,0.0003626081,0.01212416,0.0003151579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602467,0.02622453,0.01002015,0.0002581484,0.0002158742,0.0004948373,0.000745327,0.00009296924,0.001701404],"genre_scores_gemma":[0.9621894,0.00765719,0.02737707,0.0003076235,0.0001039984,0.0004600377,0.001028461,0.000084013,0.0007921508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01691068,"threshold_uncertainty_score":0.08943331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290062553479214,"score_gpt":0.279114099796853,"score_spread":0.2362134742620609,"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."}}