{"id":"W4366680054","doi":"10.31274/cpn-20230421-0","title":"Corn Invertebrate Loss Estimates from the United States and Ontario, Canada — 2022","year":2023,"lang":"en","type":"report","venue":"","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Invertebrate; Environmental science; Geography; Fishery; Oceanography; Biology; Geology","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":[0.0004506929,0.0005594861,0.0002827324,0.003283781,0.001376542,0.001044143,0.0006678155,0.0002949917,0.002248199],"category_scores_gemma":[0.0007733488,0.0002971304,0.0007736027,0.006429235,0.0002612481,0.0002926753,0.0007751092,0.000402027,0.0005340285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02597048,"about_ca_system_score_gemma":0.02650806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967272,"about_ca_topic_score_gemma":0.9987142,"domain_scores_codex":[0.9993956,0.00002338009,0.00004797132,0.00004134145,0.0003681747,0.00012355],"domain_scores_gemma":[0.9982694,0.00003154104,0.0001741512,0.0000305083,0.001314284,0.0001801756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005526735,0.00006620814,0.8984041,0.0002559651,0.0003747171,0.0004261814,0.0005277419,0.001984546,0.001003706,0.0005241816,0.06434693,0.0315331],"study_design_scores_gemma":[0.00001372394,0.00001405315,0.98146,0.00002902086,0.00004913534,0.00007289327,0.0006466574,0.0004749595,0.0002818724,0.00002118846,0.01692737,0.000009320786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6588125,0.007433535,0.0009670754,0.001400912,0.0001090569,0.0003361419,0.2793728,0.0001907328,0.05137711],"genre_scores_gemma":[0.7718065,0.008377575,0.002159692,0.0005802652,0.00004363102,0.0001786718,0.1545165,0.00006423156,0.06227293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02597048,"threshold_uncertainty_score":0.1884299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033166290220371,"score_gpt":0.230259879513634,"score_spread":0.1999282166114303,"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."}}