{"id":"W1955950099","doi":"10.1111/1556-4029.12869","title":"Blow Flies from Forest Fragments Embedded in Different Land Uses: Implications for Selecting Indicators in Forensic Entomology","year":2015,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Forensic entomology; Ecology; Biodiversity; Abundance (ecology); Calliphoridae; Land cover; Vegetation (pathology); Landscape ecology; Bioindicator; Principal component analysis; Entomology; Geography; Biology; Land use; Forestry; Habitat","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008043401,0.0001740138,0.000434821,0.0002276481,0.0001777366,0.00005550066,0.0003805016,0.0001130459,0.00001690457],"category_scores_gemma":[0.0005414781,0.0000685206,0.0001117641,0.0009005428,0.0004574178,0.0002507864,0.00008227679,0.00017794,0.000001603392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007623522,"about_ca_system_score_gemma":0.000053085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004118997,"about_ca_topic_score_gemma":0.01671843,"domain_scores_codex":[0.9983738,0.00009406362,0.0005851633,0.0002699367,0.0002611045,0.0004159104],"domain_scores_gemma":[0.9984616,0.0008073548,0.0004128202,0.00005052119,0.0001425728,0.0001251401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000072149,0.00009819077,0.9784407,0.000002472824,0.00002214194,0.000005205742,0.0008136281,0.00007759852,0.0006245682,0.00056732,0.000521884,0.01875412],"study_design_scores_gemma":[0.0008956913,0.0009306092,0.9372873,0.00008849541,0.00002272433,0.00003603769,0.002429813,0.0001152437,0.001175651,0.05656218,0.0002938309,0.0001624026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960152,0.0005859903,0.00001956765,0.002440681,0.0005206254,0.0001997943,0.00002055141,0.00001027848,0.000187314],"genre_scores_gemma":[0.9982696,0.00004323238,0.001163299,0.0002346397,0.0002431788,0.00001805219,0.00001167628,0.000001173351,0.00001515594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05599486,"threshold_uncertainty_score":0.9329276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05260549476223202,"score_gpt":0.2976726869336873,"score_spread":0.2450671921714552,"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."}}