{"id":"W2943234548","doi":"10.1016/j.forsciint.2019.04.025","title":"Revealing a decades-old fingermark with cyanoacrylate fuming and rhodamine 6G","year":2019,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Rhodamine 6G; Cyanoacrylate; Rhodamine; Materials science; Chemistry; Nanotechnology; Adhesive; Optics; Fluorescence; Organic chemistry; Molecule","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":[],"consensus_categories":[],"category_scores_codex":[0.002672219,0.0001384242,0.0001607247,0.0003577748,0.0005154398,0.0002952972,0.0005046199,0.00006579173,0.0003548406],"category_scores_gemma":[0.000852264,0.0001215226,0.00004066738,0.0008269905,0.001531793,0.0007737544,0.0001495209,0.0002041397,0.00006083334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472114,"about_ca_system_score_gemma":0.0002435095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005923317,"about_ca_topic_score_gemma":0.0003325887,"domain_scores_codex":[0.9975623,0.00007157751,0.0002346424,0.0005213207,0.001167206,0.0004429718],"domain_scores_gemma":[0.9988253,0.0002726765,0.0001623096,0.0002172952,0.0003582238,0.0001642355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005518061,0.0001163912,0.1869312,0.00006378875,0.0001643304,0.0000812707,0.1067967,0.001019109,0.04127149,0.2677461,0.001128689,0.3941291],"study_design_scores_gemma":[0.008976078,0.002269934,0.3163657,0.002834433,0.0002024281,0.00107225,0.0964883,0.1050342,0.1372334,0.04693837,0.2766335,0.005951412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636257,0.00001970174,0.001717788,0.001310686,0.00202924,0.000220616,0.000002539512,0.00009346885,0.03098029],"genre_scores_gemma":[0.956311,0.00001237895,0.03982396,0.0003275321,0.0002683284,0.00001359788,0.00000161346,0.00001249094,0.003229102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3881777,"threshold_uncertainty_score":0.5643957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310420537065624,"score_gpt":0.318509201967261,"score_spread":0.3054049965966047,"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."}}