{"id":"W1986060422","doi":"10.1016/j.forsciint.2009.03.022","title":"Scavenging activity can produce predictable patterns in surface skeletal remains scattering: Observations and comments from two experiments","year":2009,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scavenger; Taphonomy; Population; Ecology; Biology; Geography; Environmental science; Demography; Sociology","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":[0.0002859954,0.0001196565,0.0001229643,0.00003153709,0.0002684637,0.00009181166,0.0002962788,0.00002937421,0.00004816317],"category_scores_gemma":[0.0001015509,0.00006262925,0.00002642629,0.0002587029,0.0002825602,0.0004160737,0.0001535974,0.0001009737,0.000002209786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526023,"about_ca_system_score_gemma":0.00001701511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357968,"about_ca_topic_score_gemma":0.002994923,"domain_scores_codex":[0.998724,0.00002331978,0.0001560391,0.000403497,0.0004104385,0.0002827101],"domain_scores_gemma":[0.9996217,0.00007144857,0.0000688076,0.00006442097,0.0001044785,0.0000690821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002186763,0.00009412989,0.8391209,8.955174e-7,0.00001065825,0.000006875068,0.0005608124,0.00007671639,0.139367,0.000474436,0.000139758,0.02012594],"study_design_scores_gemma":[0.0002316048,0.00007933537,0.9821642,0.00004605971,0.000002676876,0.000005018719,0.000167235,0.001574146,0.01444538,0.0009818943,0.0001867819,0.0001156507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912654,0.00002950615,0.0000101285,0.007692995,0.0004478895,0.0001303329,0.0001053975,0.00003169059,0.0002866794],"genre_scores_gemma":[0.9987687,0.00001052186,0.0003893761,0.0006027932,0.0001292955,0.000005308322,0.00004912639,6.080194e-7,0.00004423697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1430433,"threshold_uncertainty_score":0.2553947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745143557134842,"score_gpt":0.2823545218101373,"score_spread":0.2449030862387889,"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."}}