{"id":"W4367157467","doi":"10.1021/cen-10001-feature1","title":"Mining proteins for crime scene clues","year":2022,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Venomous Animal Envenomation and Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toddler; Coroner; Criminology; History; Genealogy; Psychology; Medicine; Poison control; Medical emergency; Suicide prevention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173089,0.0001058644,0.0001112056,0.00001369877,0.0002504201,0.00001764956,0.0001712619,0.00003325435,0.00004180809],"category_scores_gemma":[0.00006218151,0.0001095272,0.0001036086,0.00005153579,0.00002801084,0.000002188074,0.0002863958,0.00003513952,0.000005802839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005333386,"about_ca_system_score_gemma":0.00004303609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001712226,"about_ca_topic_score_gemma":0.00001332616,"domain_scores_codex":[0.9992879,0.00004182138,0.000139972,0.000240076,0.00009980388,0.0001904251],"domain_scores_gemma":[0.9997028,0.000005155053,0.00005367255,0.0001512265,0.00003873801,0.0000484822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00509989,0.002652892,0.05308937,0.000402703,0.001364108,0.00007795251,0.003382702,0.001825704,0.5042105,0.01154063,0.3528211,0.06353246],"study_design_scores_gemma":[0.002022868,0.00232735,0.009927975,0.00001831827,0.00005680867,0.00006548505,0.001570395,0.0009481269,0.01109134,0.0004343498,0.9710115,0.000525487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735619,0.00221288,0.008596073,0.0007016917,0.0004204951,0.0007907974,0.0003871899,0.00005656558,0.01327242],"genre_scores_gemma":[0.9950209,0.0000245049,0.00277241,0.0006106651,0.0001420605,0.0002326807,0.0001023981,0.00001200379,0.001082375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6181904,"threshold_uncertainty_score":0.446639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085364542854356,"score_gpt":0.2704297524922143,"score_spread":0.2595761070636707,"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."}}