{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002476241,0.001304023,0.001549743,0.003509512,0.0009154441,0.002490867,0.002533406,0.001869707,0.558142],"category_scores_gemma":[0.02277954,0.0006898807,0.001237428,0.005540199,0.0005243274,0.00191291,0.002414075,0.001340999,0.1313393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525189,"about_ca_system_score_gemma":0.002480892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227964,"about_ca_topic_score_gemma":0.01975909,"domain_scores_codex":[0.9987851,0.0002559641,0.0002508666,0.0003746595,0.0001941109,0.0001393555],"domain_scores_gemma":[0.9854836,0.009535873,0.001061023,0.001445564,0.001956313,0.0005176526],"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":[0.0001625931,0.00002836091,0.001698054,0.002772076,0.00005849472,0.00003505186,0.0000385775,0.0002651806,0.00006954281,0.0005890891,0.9907055,0.003577421],"study_design_scores_gemma":[0.001297539,0.00004657783,0.009721908,0.002564203,0.0001531135,0.000183255,0.000192383,0.0004290867,0.0003579728,0.005297685,0.9796846,0.00007185421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004142721,0.00001922459,0.00006354757,0.00004521475,0.000008755996,0.00001576685,0.9994073,0.00008183422,0.0003169927],"genre_scores_gemma":[0.001150077,0.00008522531,0.0008143932,0.0001809294,0.00001862885,0.0002966672,0.9957229,0.0001874527,0.001543692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.558142,"threshold_uncertainty_score":0.6302568,"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."}}