{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008111777,0.00004131448,0.00009487526,0.000006178953,0.00006529588,0.000003395658,0.00009097916,0.00003201317,0.0003333047],"category_scores_gemma":[0.00006647433,0.00001422158,0.00003937141,0.0001722502,0.00004784223,0.0000182946,0.00006758456,0.00004032101,0.00006334791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000180755,"about_ca_system_score_gemma":0.000002122779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001000475,"about_ca_topic_score_gemma":0.0001296001,"domain_scores_codex":[0.9996636,0.00001885078,0.00008156495,0.00007534463,0.00005548475,0.0001051892],"domain_scores_gemma":[0.9996992,0.0001875521,0.00002671143,0.00002709409,0.00002490259,0.00003449586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009959975,0.0002215928,0.2595042,0.00004012678,0.0001096797,0.0000694277,0.0005543755,0.000005604639,0.07874263,0.01938247,0.4639224,0.1773479],"study_design_scores_gemma":[0.0001154649,0.0003220483,0.9245631,0.00001606687,0.000009532898,0.000003579785,0.0005777029,0.00007784605,0.01023739,0.005734178,0.05822298,0.0001200996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876027,0.00003890496,0.000001161864,0.002948385,0.0001351208,0.00003385016,0.000008554228,0.00006272028,0.009168633],"genre_scores_gemma":[0.9990168,0.00002064196,0.000006643138,0.0003332275,0.00004477825,0.000004016511,0.00001775397,1.295188e-7,0.00055601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6650589,"threshold_uncertainty_score":0.3649453,"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."}}