{"id":"W6977620559","doi":"10.7273/000001069","title":"Integrated Pest Management, 2018 Quarter 4 Newsletter","year":2018,"lang":"en","type":"article","venue":"Washington State University","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); PEST analysis; Integrated pest management; Agriculture","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":[0.001748338,0.001057288,0.0006587866,0.001123613,0.001347937,0.004904971,0.001265257,0.003352776,0.1514686],"category_scores_gemma":[0.00329423,0.0003658365,0.0004801098,0.0007321803,0.0004120537,0.001984953,0.001614247,0.003326112,0.05532869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508951,"about_ca_system_score_gemma":0.00317521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007954774,"about_ca_topic_score_gemma":0.03019506,"domain_scores_codex":[0.9991286,0.00006479838,0.00003395119,0.00008075139,0.0005793532,0.0001125871],"domain_scores_gemma":[0.9981243,0.0002171761,0.000116331,0.0001234245,0.0009845881,0.0004341674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003113242,0.00004624088,0.0001156328,0.00003602494,0.000002322754,0.00002777684,0.000008009088,0.00004192474,0.0002145584,0.0002709974,0.9716408,0.02756466],"study_design_scores_gemma":[0.0000154853,0.00004440362,0.0008205658,0.00004079612,0.000005005025,0.00002232844,0.00004188107,0.0002336406,0.0002443965,0.0005150075,0.9980112,0.00000534695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005518722,0.01686333,0.01054483,0.1751862,0.1881576,0.0006161546,0.009930721,0.008578978,0.5846035],"genre_scores_gemma":[0.009095744,0.006567474,0.003613082,0.01682848,0.02563745,0.0001838899,0.006841768,0.000683746,0.9305484],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1514686,"threshold_uncertainty_score":0.506713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146903037924881,"score_gpt":0.212543111456593,"score_spread":0.2010740810773442,"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."}}