{"id":"W2779496185","doi":"10.1177/1365712717746419","title":"Unconfirmed accelerants","year":2017,"lang":"en","type":"article","venue":"The International Journal of Evidence & Proof","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arson; Fire investigation; Forensic engineering; Accidental; Flammable liquid; Computer security; History; Engineering; Criminology; Psychology; Computer science; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02591341,0.0006837868,0.0005804053,0.001876361,0.002848122,0.002982372,0.00251148,0.005034649,0.006475504],"category_scores_gemma":[0.1061471,0.0003604153,0.0005751564,0.0008707971,0.003146454,0.002375869,0.002748866,0.004630953,0.002356834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117013,"about_ca_system_score_gemma":0.002871662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697843,"about_ca_topic_score_gemma":0.004091414,"domain_scores_codex":[0.9810891,0.00545337,0.001723743,0.002377652,0.008075896,0.001280216],"domain_scores_gemma":[0.9140667,0.0562197,0.008436338,0.00650822,0.01361516,0.001153844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001320903,0.0003683645,0.096941,0.003532361,0.000360608,0.02991931,0.0775732,0.0009800567,0.02793268,0.3667236,0.09462707,0.2997209],"study_design_scores_gemma":[0.0001294577,0.001365737,0.05511092,0.007107883,0.001230895,0.03494473,0.04268225,0.006510066,0.09771842,0.1121878,0.6407289,0.0002829148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4984065,0.005262158,0.07424992,0.05339667,0.007825648,0.0008616578,0.001038213,0.0003540877,0.3586052],"genre_scores_gemma":[0.922439,0.0016547,0.02411375,0.01449887,0.0008720812,0.0001333071,0.0002286937,0.00004714458,0.03601228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02591341,"threshold_uncertainty_score":0.1370449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.355893954199186,"score_gpt":0.5025763803040952,"score_spread":0.1466824261049092,"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."}}