{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005179455,0.0000679686,0.0001261899,0.00007675978,0.0006599765,0.0005114959,0.002726554,0.00004576544,0.0003900607],"category_scores_gemma":[0.01067859,0.00004010052,0.0001237989,0.00004540908,0.0005381116,0.001049535,0.0001419682,0.000271525,0.00002767004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568763,"about_ca_system_score_gemma":0.0004062177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007482633,"about_ca_topic_score_gemma":0.0006521659,"domain_scores_codex":[0.9980033,0.0002365009,0.0003335823,0.00008868098,0.001187549,0.0001503771],"domain_scores_gemma":[0.9971533,0.0005824849,0.000878833,0.0002687195,0.001044463,0.0000722007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007366103,0.0000946117,0.02341494,0.000009096321,0.0003603079,0.0001830825,0.01331038,0.0001399105,0.009344952,0.02368464,0.01259496,0.9161265],"study_design_scores_gemma":[0.001793196,0.0004625974,0.1553807,0.002469109,0.0001589738,0.0004752459,0.004645606,0.0003843677,0.07732625,0.1469488,0.6093252,0.0006300083],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7207102,0.0007711417,0.008612301,0.2197907,0.01841072,0.0004101686,0.00000250252,0.00003685645,0.0312555],"genre_scores_gemma":[0.9936597,0.000244978,0.002366147,0.0003948036,0.001595171,0.00000240821,3.657836e-8,0.000005872144,0.001730821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9154965,"threshold_uncertainty_score":0.9976549,"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."}}