{"id":"W1913203953","doi":"10.1002/jms.3205","title":"Analysis of sexual assault evidence by desorption electrospray ionization mass spectrometry","year":2013,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Desorption electrospray ionization; Mass spectrometry; Electrospray ionization; Electrospray; Chromatography; Extractive electrospray ionization; Analytical Chemistry (journal); Ionization; Organic chemistry; Thermal ionization mass spectrometry; Sample preparation in mass spectrometry; Ion","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005237544,0.0002338318,0.0007754149,0.002427054,0.0002473223,0.0001960946,0.0005811557,0.00030749,0.002963842],"category_scores_gemma":[0.003774755,0.0002236947,0.0003467769,0.008015523,0.0002817727,0.001227972,0.00003094452,0.0007565445,0.00003549663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009820734,"about_ca_system_score_gemma":0.0002972685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006897731,"about_ca_topic_score_gemma":0.00009650483,"domain_scores_codex":[0.9950376,0.0009612404,0.001123216,0.0003356532,0.00198286,0.0005594789],"domain_scores_gemma":[0.9955723,0.0008973877,0.001676168,0.0003421919,0.001245989,0.0002660057],"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":[0.00006752179,0.0001013252,0.03975776,0.00002416991,0.0008590009,0.00000559131,0.000519643,0.0002600829,0.9521826,0.001109687,0.002172393,0.002940254],"study_design_scores_gemma":[0.002389142,0.007380681,0.3715894,0.0003845512,0.007653444,0.00009939583,0.01263833,0.006327911,0.5608697,0.02519399,0.003233636,0.002239852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6786533,0.0007664781,0.3173233,0.001224063,0.000543169,0.0001882139,0.000005106344,0.00004369892,0.001252654],"genre_scores_gemma":[0.8918055,0.000522968,0.1063413,0.00007252787,0.000447923,0.000004062802,0.000003597757,0.00002501296,0.0007771125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3913129,"threshold_uncertainty_score":0.9979476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189240179830079,"score_gpt":0.320825794569133,"score_spread":0.2989333927708323,"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."}}