{"id":"W4394121376","doi":"10.6084/m9.figshare.21382496","title":"Additional file 4 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":[0.0001661021,0.0002156411,0.0001867016,0.0001766872,0.0001868303,0.00004702476,0.0003589503,0.000126433,0.9179115],"category_scores_gemma":[0.002385522,0.0001958754,0.0000747164,0.0004275465,0.00004609515,0.000006294355,0.0004919447,0.0004250354,0.00007700058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005752276,"about_ca_system_score_gemma":0.0001429145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006773933,"about_ca_topic_score_gemma":0.001103972,"domain_scores_codex":[0.9982114,0.0003700061,0.0002808535,0.000438217,0.0004249627,0.000274568],"domain_scores_gemma":[0.9988223,0.0003122394,0.0002368478,0.0004632265,0.0001109473,0.00005437911],"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":[0.00005490214,0.00002043443,0.00000324672,0.0001401261,0.0000222715,0.0000137111,0.00001210303,0.00005213783,0.00009255393,7.208226e-7,0.9993385,0.0002492725],"study_design_scores_gemma":[0.0002294728,0.0002781241,0.002218253,0.000629605,0.000005380616,0.000006220468,0.0001108874,0.00003137694,0.0002267391,0.000005038445,0.9960645,0.0001944318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000651713,0.0002234264,3.455317e-7,0.00003020382,0.00004475394,0.0003130641,0.9978126,0.000005265729,0.001505203],"genre_scores_gemma":[0.0001634494,0.0000191976,0.0001910394,0.0001098089,0.0002502938,0.0002550695,0.9978399,0.00002266867,0.001148578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9178345,"threshold_uncertainty_score":0.7987565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686426849209448,"score_gpt":0.25283105381265,"score_spread":0.2359667853205555,"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."}}