{"id":"W2920693599","doi":"10.3390/insects10030068","title":"Ability of Muscidifurax raptorellus and Other Parasitoids and Predators to Control Drosophila suzukii Populations in Raspberries in the Laboratory","year":2019,"lang":"en","type":"article","venue":"Insects","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vineland Research and Innovation Centre; Université Laval; Agriculture and Agri-Food Canada; Institut de Recherche et de Développement en Agroenvironnement","funders":"Agriculture and Agri-Food Canada; Centre Sève; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Drosophila suzukii; Biology; Biological pest control; PEST analysis; Parasitoid; Predation; Pest control; Pupa; Chrysoperla carnea; Predator; Zoology; Ecology; Horticulture; Larva; Drosophilidae; Chrysopidae","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":[0.0003501036,0.00008962353,0.0001717656,0.00002384079,0.00003965854,0.00002499805,0.0001107598,0.00007629646,0.00002788978],"category_scores_gemma":[0.00003359696,0.00003471897,0.00002088706,0.0002462254,0.0000639468,0.00007293071,0.00002139489,0.00008937467,0.000001052286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001260781,"about_ca_system_score_gemma":0.000007025561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205776,"about_ca_topic_score_gemma":0.004029437,"domain_scores_codex":[0.9992782,0.0001237476,0.0001799223,0.0001767296,0.0001049697,0.0001364244],"domain_scores_gemma":[0.9996842,0.00014657,0.00004136517,0.0000704382,0.00002603941,0.00003136215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000388469,0.00003980867,0.7252839,0.000004581187,0.000001086605,0.000002047262,0.0004831168,8.134909e-7,0.2721045,0.0007749628,0.000009421385,0.001256855],"study_design_scores_gemma":[0.0002534694,0.0001918581,0.9967317,0.00001614281,0.000003578488,0.000001978153,0.000187728,0.00001197219,0.001477131,0.000816614,0.0002300171,0.00007779174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988363,0.0001364406,3.196075e-7,0.0003206925,0.00003706306,0.0004355815,0.00006351298,0.00001797044,0.0001520673],"genre_scores_gemma":[0.9995242,0.000004411062,0.00001236967,0.0003849484,0.00002330057,0.00004211031,0.000002629528,8.644776e-7,0.00000520822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2714478,"threshold_uncertainty_score":0.3110731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195427144391321,"score_gpt":0.2532943519493681,"score_spread":0.2337516375102359,"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."}}