{"id":"W4394364156","doi":"10.6084/m9.figshare.21382490","title":"Additional file 3 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Suspect; Computer science; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001659855,0.0002156279,0.000186663,0.0001766153,0.000186749,0.00004700288,0.0003587195,0.0001264237,0.9190175],"category_scores_gemma":[0.002415021,0.0001958428,0.00007471134,0.0004275944,0.0000460879,0.00000629355,0.0004917806,0.0004250469,0.00007840289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005771713,"about_ca_system_score_gemma":0.0001433847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006826995,"about_ca_topic_score_gemma":0.001100029,"domain_scores_codex":[0.9982115,0.0003700484,0.0002807656,0.0004381786,0.0004249861,0.0002745407],"domain_scores_gemma":[0.9988213,0.0003117141,0.0002368128,0.0004630125,0.0001127822,0.00005437664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005436864,0.00002041091,0.000003238083,0.0001409936,0.00002225534,0.0000136598,0.00001208375,0.00005274503,0.00009374633,6.981069e-7,0.9993365,0.000249265],"study_design_scores_gemma":[0.0002301906,0.0002739465,0.002208259,0.0006280742,0.000005343569,0.000006162355,0.0001105548,0.00003127109,0.0002308154,0.000004992366,0.996076,0.000194327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006543705,0.0002227132,3.436293e-7,0.00003025206,0.00004510656,0.0003128282,0.9978094,0.000005259506,0.001508627],"genre_scores_gemma":[0.0001598642,0.00001919291,0.0001908126,0.0001096778,0.0002524466,0.0002549903,0.9978062,0.00002266804,0.001184154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9189391,"threshold_uncertainty_score":0.7986238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674910943556998,"score_gpt":0.2524893391304313,"score_spread":0.2357402296948613,"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."}}