{"id":"W4308676275","doi":"10.5281/zenodo.7309999","title":"Tachinids as good biocontrol agents of agricultural pests","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shivaji University, Kolhapur","keywords":"Biological pest control; Agriculture; Agricultural pest; Biology; Biotechnology; Agroforestry; Ecology; Agricultural science","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":[0.000368085,0.0003389494,0.0002275518,0.0009904357,0.0002911887,0.0004552912,0.0003078502,0.0002827645,0.003477523],"category_scores_gemma":[0.0002735294,0.000093544,0.0002012186,0.0005895289,0.0001971241,0.0004629412,0.0004450133,0.0003118591,0.0004461182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233366,"about_ca_system_score_gemma":0.0001702355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008446971,"about_ca_topic_score_gemma":0.002220221,"domain_scores_codex":[0.9997908,0.00004306448,0.00002191616,0.00003705874,0.00007661385,0.00003050958],"domain_scores_gemma":[0.9997067,0.00004766748,0.00008862586,0.00001400672,0.00009693961,0.00004602157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005759396,0.0002240977,0.02065344,0.002966915,0.00009509305,0.0004748508,0.0002921832,0.0003446692,0.246334,0.001958976,0.006430417,0.7196494],"study_design_scores_gemma":[0.000137592,0.007174631,0.3176568,0.002127593,0.0008598976,0.003714426,0.0009927512,0.002052582,0.143524,0.00247187,0.5191706,0.0001171916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5411758,0.3426901,0.004307672,0.003073787,0.001253585,0.0003510899,0.00105935,0.0003331809,0.1057554],"genre_scores_gemma":[0.9110957,0.06421624,0.008306822,0.001327521,0.0004717184,0.00009322142,0.000925351,0.0000199186,0.01354352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003477523,"threshold_uncertainty_score":0.01163346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407457970831927,"score_gpt":0.2195952379118566,"score_spread":0.1955206582035373,"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."}}