{"id":"W4400777104","doi":"10.1111/icad.12770","title":"Complex temporal trends in biomass and abundance of Diptera communities driven by the impact of agricultural intensity","year":2024,"lang":"en","type":"article","venue":"Insect Conservation and Diversity","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Espace pour la vie; Environment and Climate Change Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; UK Research and Innovation","keywords":"Abundance (ecology); Biomass (ecology); Ecology; Biodiversity; Agriculture; Ecosystem; Agricultural land; Land cover; Relative species abundance; Biology; Geography; Land use","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004052277,0.0001370335,0.000170524,0.0008081787,0.0003710811,0.0004853668,0.0002419376,0.0001817777,0.001329288],"category_scores_gemma":[0.0009257967,0.00009571857,0.0001598305,0.0009538275,0.0003022135,0.0002104614,0.0002213932,0.0002250043,0.0001230616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693037,"about_ca_system_score_gemma":0.0007022236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4858802,"about_ca_topic_score_gemma":0.6662119,"domain_scores_codex":[0.9998059,0.00002745025,0.00001078864,0.00005584837,0.00004681947,0.0000531391],"domain_scores_gemma":[0.9988537,0.0001335183,0.0003950299,0.00005416288,0.000407511,0.0001561383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003678779,0.00001140483,0.9942299,0.00001271453,0.00004117159,0.00002529182,0.0001336041,0.0002900843,0.003025358,0.00001823285,0.0002030336,0.001972456],"study_design_scores_gemma":[2.307657e-7,0.00000323954,0.999681,9.107988e-7,0.000002127196,0.000003768523,0.00003970612,0.0001769887,0.0000336188,0.000002273267,0.00005535655,7.517786e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984514,0.00007607517,0.0001318061,0.00002268244,0.000001429289,0.000005040232,0.0008775928,0.000005356598,0.0004286284],"genre_scores_gemma":[0.9990552,0.00002521455,0.0001159262,0.00001525909,0.00000148209,0.000005722164,0.0005329259,0.000001403992,0.0002468397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858802,"threshold_uncertainty_score":0.9661041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081529936464553,"score_gpt":0.2461277123231676,"score_spread":0.1379747186767123,"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."}}