{"id":"W4394328030","doi":"10.6084/m9.figshare.21382484","title":"Additional file 1 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; Computational biology; Political science; Biology; 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":[0.002229992,0.00134205,0.001328278,0.003244713,0.000850417,0.002211562,0.002696812,0.001785203,0.5743563],"category_scores_gemma":[0.0192415,0.000695537,0.001087777,0.005553253,0.0004855458,0.002044734,0.002195431,0.001418917,0.1625773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624496,"about_ca_system_score_gemma":0.002595833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307911,"about_ca_topic_score_gemma":0.018684,"domain_scores_codex":[0.9990644,0.000184825,0.0001701095,0.0002760518,0.0001751547,0.0001295272],"domain_scores_gemma":[0.9904614,0.005846899,0.0007028055,0.0009690071,0.001564385,0.0004555913],"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":[0.0001384289,0.00003109361,0.001087647,0.001454773,0.0000364417,0.00003066423,0.00002668597,0.0002433251,0.00006630666,0.0006372379,0.9932892,0.002958291],"study_design_scores_gemma":[0.001428164,0.00005365022,0.00837417,0.00206496,0.0001176537,0.0002177107,0.0001640737,0.0005165468,0.0004645648,0.006088696,0.9804395,0.00007025304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003450605,0.00001505843,0.00006067609,0.00004411712,0.000007292482,0.00001661146,0.9994005,0.00009000373,0.0003312482],"genre_scores_gemma":[0.0008054529,0.0000727245,0.0005975575,0.000154366,0.00001484346,0.0002416222,0.9967335,0.000171038,0.001208931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5743563,"threshold_uncertainty_score":0.607129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170146292020042,"score_gpt":0.2528283256364039,"score_spread":0.2358136964343997,"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."}}