{"id":"W2123436217","doi":"10.1111/j.1556-4029.2009.01160.x","title":"The Effects of Soil Environment on Postmortem Interval: A Macroscopic Analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Toronto","funders":"","keywords":"Moisture; Soil texture; Water content; Texture (cosmology); Environmental science; Soil science; Degradation (telecommunications); Soil water; Animal science; Geology; Dentistry; Geotechnical engineering; Medicine; Biology; Materials science; Composite material; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003983439,0.0002210947,0.0001599777,0.0006543198,0.0002125991,0.0002985889,0.0001309628,0.0001474003,0.001036418],"category_scores_gemma":[0.000887169,0.0001943934,0.0002280753,0.0003880254,0.0003239914,0.0001802843,0.0002133622,0.000229925,0.0001648836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199517,"about_ca_system_score_gemma":0.00007187459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009141685,"about_ca_topic_score_gemma":0.002329702,"domain_scores_codex":[0.9997976,0.00002876908,0.0000165606,0.00004418287,0.00008636664,0.00002647861],"domain_scores_gemma":[0.9991539,0.000264176,0.000284599,0.00007264534,0.0001559623,0.0000688226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001742079,0.0001189511,0.298632,0.0001657852,0.0001255782,0.000781145,0.0003995595,0.0004521412,0.6642559,0.00007190747,0.0001022627,0.03315272],"study_design_scores_gemma":[0.000004561206,0.000962287,0.9547462,0.000007019606,0.00007082725,0.0008695868,0.0001933539,0.0004450616,0.04222385,0.00003184037,0.0004363022,0.000009153136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965565,0.0006589364,0.001734332,0.000008562204,0.000006945546,0.00001835602,0.0002012765,0.00001810052,0.0007970185],"genre_scores_gemma":[0.9977805,0.0002935135,0.001239342,0.000009086915,0.000006388489,0.00001000327,0.0001994903,0.000009094441,0.0004524329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001036418,"threshold_uncertainty_score":0.003467143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147157047507041,"score_gpt":0.2426050512580243,"score_spread":0.2311334807829539,"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."}}