{"id":"W4221132168","doi":"10.1016/j.forsciint.2022.111288","title":"Death in the paddy field: Carcass decomposition and associated arthropods in subunits of a rice field landscape","year":2022,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Paddy field; Carrion; Biology; Arthropod; Ecology; Species richness; Fauna; Invertebrate; Abundance (ecology); Predation; Habitat; Ecosystem","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":[0.0005513673,0.00004703691,0.00007222796,0.00004613502,0.0001677703,0.00001848026,0.0002447717,0.00002016887,0.0001323873],"category_scores_gemma":[0.0001978291,0.00001987384,0.00001895293,0.0004832466,0.0001177437,0.00008725438,0.0001373242,0.000114395,5.330191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002541968,"about_ca_system_score_gemma":0.000009592075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008062629,"about_ca_topic_score_gemma":0.002554261,"domain_scores_codex":[0.9992744,0.00005711216,0.0001266243,0.0001414449,0.0002768557,0.0001235791],"domain_scores_gemma":[0.9994202,0.0004378702,0.00005336208,0.00002594162,0.00004989413,0.00001275553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007141614,0.0001266846,0.9797999,0.000001444149,0.000007307515,0.00002476538,0.001453662,0.00003355985,0.003367888,0.004522902,0.0006506487,0.009939782],"study_design_scores_gemma":[0.0001808683,0.0003728113,0.9932306,0.000009024361,0.000002127246,0.00003264471,0.001246542,0.0006911808,0.0007819092,0.003175562,0.0002220853,0.00005462698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937184,0.00004160654,0.000001341009,0.003278978,0.0002227682,0.00006555317,0.00001382547,0.000004661586,0.002652903],"genre_scores_gemma":[0.9991071,0.000009148264,0.00002679851,0.0007820977,0.00002112608,0.00001448154,0.00001756658,1.784562e-7,0.0000214784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343068,"threshold_uncertainty_score":0.1449548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886922248098627,"score_gpt":0.2795048953858808,"score_spread":0.2606356729048945,"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."}}