{"id":"W1977707189","doi":"10.1016/j.jmaa.2014.09.048","title":"Models for determining how many natural enemies to release inoculatively in combinations of biological and chemical control with pesticide resistance","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; International Development Research Centre","keywords":"Natural (archaeology); Pesticide; Resistance (ecology); Natural enemies; Chemical control; Biochemical engineering; Mathematics; Toxicology; Biology; Ecology; Engineering; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256083,0.00007278054,0.0003529803,0.00003498598,0.00007137746,0.00002336317,0.00007247789,0.00002898844,0.000002413267],"category_scores_gemma":[0.0001386689,0.00002652135,0.00006856988,0.0002676662,0.00007886199,0.00004977221,0.00001896376,0.00005413519,1.084799e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005660482,"about_ca_system_score_gemma":0.000002210843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001209509,"about_ca_topic_score_gemma":0.00006687704,"domain_scores_codex":[0.9994345,0.00002380995,0.0002492648,0.0001058397,0.00009565024,0.00009090747],"domain_scores_gemma":[0.9987705,0.000861402,0.0001680117,0.00001608382,0.0001196582,0.00006431949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001102379,0.002080143,0.1022042,0.0002635975,0.001474644,0.000006358959,0.0009950957,0.0005080717,0.3841974,0.4270507,0.0001196165,0.07999778],"study_design_scores_gemma":[0.002407788,0.001106288,0.712835,0.0003570911,0.001439266,0.00003819797,0.001432156,0.07364377,0.003719226,0.201446,0.001002503,0.0005727584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953357,0.0001631979,0.04458703,0.001684505,7.552001e-7,0.0001363371,0.00001797891,0.000002358586,0.00005087008],"genre_scores_gemma":[0.9942111,0.00003613974,0.005651869,0.00003292647,0.00002340835,0.00002739214,0.00000210295,4.569378e-7,0.00001457284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6106308,"threshold_uncertainty_score":0.1081509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762770455267861,"score_gpt":0.22798426897381,"score_spread":0.2003565644211314,"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."}}