{"id":"W4394161691","doi":"10.6084/m9.figshare.21382502","title":"Additional file 5 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":[0.0001661753,0.0002156597,0.0001867296,0.000176681,0.0001868379,0.00004700659,0.0003588322,0.0001264384,0.9178936],"category_scores_gemma":[0.002393899,0.0001958786,0.00007472523,0.0004276672,0.00004609534,0.000006294346,0.0004919664,0.0004250791,0.00007654729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005753377,"about_ca_system_score_gemma":0.000143055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006827751,"about_ca_topic_score_gemma":0.001107439,"domain_scores_codex":[0.9982111,0.0003702788,0.0002808456,0.000438266,0.0004249847,0.000274562],"domain_scores_gemma":[0.998822,0.0003118934,0.0002368386,0.0004631541,0.0001117352,0.00005438402],"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":[0.00005415819,0.00002043705,0.000003237116,0.0001401693,0.00002227301,0.00001371137,0.00001209811,0.0000527068,0.00009316627,7.21204e-7,0.9993377,0.0002496277],"study_design_scores_gemma":[0.000229359,0.0002748863,0.002250275,0.0006300224,0.000005382455,0.000006221168,0.0001109392,0.0000311837,0.0002282815,0.00000501515,0.996034,0.0001944599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000654445,0.0002231836,3.445848e-7,0.00003034492,0.00004475511,0.0003129974,0.9978148,0.000005265943,0.001502886],"genre_scores_gemma":[0.0001620435,0.00001919573,0.0001910223,0.0001098644,0.0002503086,0.0002550443,0.9978338,0.00002267048,0.001156022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9178171,"threshold_uncertainty_score":0.7987695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675369275590328,"score_gpt":0.2526108805489679,"score_spread":0.2358571877930646,"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."}}