{"id":"W1548190889","doi":"10.1002/jms.3584","title":"Analysis of sexual assault evidence: statistical classification of condoms by ambient mass spectrometry","year":2015,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Mass spectrometry; Linear discriminant analysis; Desorption electrospray ionization; Sample (material); Analytical Chemistry (journal); Ambient ionization; Ionization; Chromatography; Pattern recognition (psychology); Artificial intelligence; Chemical ionization; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001925724,0.0003757051,0.001457572,0.001806027,0.00005799198,0.00006045883,0.0009364072,0.0003507494,0.005369578],"category_scores_gemma":[0.001212816,0.0003442587,0.000417333,0.004066085,0.0003293135,0.0003068185,0.00008123671,0.0009337641,0.000008324964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315894,"about_ca_system_score_gemma":0.0003283667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006913632,"about_ca_topic_score_gemma":0.000004577067,"domain_scores_codex":[0.9946599,0.000131678,0.002114476,0.0004826572,0.002105554,0.0005057115],"domain_scores_gemma":[0.9941076,0.0007640246,0.002694581,0.0008924556,0.001068712,0.0004726507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002436599,0.0006088455,0.03537631,0.0001643456,0.001496315,0.0000175394,0.00005541893,0.00004134679,0.9463922,0.008672047,0.006595481,0.0003364584],"study_design_scores_gemma":[0.002408941,0.00232706,0.02690641,0.0002155476,0.005586455,0.0001069461,0.002627612,0.00322042,0.9435176,0.01005157,0.00217884,0.0008526059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933424,0.001693801,0.1933812,0.0007086669,0.0001340501,0.0001943601,0.0006260441,0.00007369486,0.009845863],"genre_scores_gemma":[0.9378641,0.0002821395,0.06102729,0.00002165693,0.0001796123,0.00001136254,0.00008349369,0.00004156808,0.0004888135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445217,"threshold_uncertainty_score":0.9999009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03979157374243946,"score_gpt":0.3242620636663864,"score_spread":0.284470489923947,"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."}}