{"id":"W4235450000","doi":"10.17576/mjas-2019-2303-19","title":"CUTICULAR HYDROCARBONS OF PUPAL CASES OF Chrysomya megacephala (FABRICIUS) AND ITS POSSIBLE USE FOR ESTIMATING POSTMORTEM INTERVAL","year":2019,"lang":"en","type":"article","venue":"Malaysian Journal of Analytical Science","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Universiti Teknologi Malaysia","keywords":"Chrysomya megacephala; Pupa; Forensic entomology; Calliphoridae; Toxicology; Biology; Environmental science; Veterinary medicine; Ecology; Medicine; Larva","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006922808,0.0001165121,0.0004473969,0.0003332179,0.00004469699,0.00007033809,0.0002226964,0.0000438594,0.00002667297],"category_scores_gemma":[0.0003049099,0.0000927978,0.0001969226,0.0007433356,0.0001441541,0.0004990067,0.00003562953,0.0001216606,0.000001591333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004648069,"about_ca_system_score_gemma":0.00005736179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400241,"about_ca_topic_score_gemma":0.000001954882,"domain_scores_codex":[0.998555,0.00001966838,0.0006525135,0.0001407877,0.0004000545,0.0002319467],"domain_scores_gemma":[0.9990609,0.0001377183,0.0002423288,0.0001293992,0.0002278715,0.0002017718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002223574,0.0004662526,0.1650759,0.00190544,0.001602149,0.0002450894,0.002160727,0.460078,0.332174,0.02758662,0.0003381828,0.008145275],"study_design_scores_gemma":[0.000280358,0.0002645404,0.006468804,0.0001866648,0.0001454035,0.0002429722,0.0002193551,0.9881875,0.003827274,0.00004474619,0.00003029522,0.0001020854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801066,0.000151414,0.01894222,0.00006747493,0.0001780954,0.00009240954,0.000006893127,0.000008479396,0.000446408],"genre_scores_gemma":[0.9954132,0.000005827405,0.004466993,0.000007814966,0.00004741659,5.852215e-7,2.836856e-7,0.000009362084,0.00004851104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5281096,"threshold_uncertainty_score":0.3784184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787820745242921,"score_gpt":0.2521641304327198,"score_spread":0.2342859229802906,"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."}}