{"id":"W4389804551","doi":"10.29173/comp75","title":"Body Farms: A Field of Opportunity","year":2023,"lang":"en","type":"article","venue":"COMPASS","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Taphonomy; Tracing; Field (mathematics); Generative grammar; Value (mathematics); Human body; Engineering ethics; Engineering; Architectural engineering; Environmental ethics; Data science; Computer science; Sociology; Geography; Archaeology; Artificial intelligence; Philosophy; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009791875,0.0004861871,0.0004244065,0.00140916,0.01314873,0.01490516,0.001714159,0.007350543,0.03512672],"category_scores_gemma":[0.008315437,0.0005102052,0.0005030377,0.001229131,0.02231459,0.02110172,0.01261084,0.008053401,0.003074342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004812271,"about_ca_system_score_gemma":0.01013231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722326,"about_ca_topic_score_gemma":0.007840896,"domain_scores_codex":[0.9949213,0.002309277,0.0001276471,0.0006064886,0.0009518493,0.00108352],"domain_scores_gemma":[0.9873275,0.005800615,0.0008869729,0.0009665272,0.001374266,0.003644113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007880427,0.00008130315,0.003003739,0.0002815847,0.00000585381,0.001340709,0.01035486,0.0001685225,0.0006786932,0.7231419,0.08362568,0.1772383],"study_design_scores_gemma":[0.000009701708,0.0001117533,0.002160749,0.001138661,0.000004469163,0.001824652,0.03816186,0.0001940062,0.0002951845,0.1291763,0.8268709,0.00005178873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05098604,0.04724912,0.03081316,0.5957892,0.007622719,0.0001679791,0.0002811376,0.0002326669,0.266858],"genre_scores_gemma":[0.7377174,0.04905989,0.03059369,0.05730904,0.006715586,0.0003282784,0.0001944551,0.0003329301,0.1177487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03512672,"threshold_uncertainty_score":0.1175106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0514273090242829,"score_gpt":0.2826196535576758,"score_spread":0.2311923445333929,"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."}}