{"id":"W2518049756","doi":"10.1007/s10699-016-9500-0","title":"Forensic Science: Current State and Perspective by a Group of Early Career Researchers","year":2016,"lang":"en","type":"article","venue":"Foundations of Science","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Lausanne; World Anti-Doping Agency; University of Technology Sydney","keywords":"Exploit; Underpinning; Philosophy of science; Engineering ethics; Multidisciplinary approach; Criminal justice; Perspective (graphical); Occupational science; Sociology; Criminal investigation; Pillar; Psychology; Data science; Political science; Epistemology; Engineering; Criminology; Social science; Computer science; Computer security; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005671523,0.0000700517,0.0001189126,0.0005102085,0.0009930173,0.000103068,0.0005996582,0.0000202235,0.00005288905],"category_scores_gemma":[0.00496718,0.00005410111,0.00003071176,0.002803446,0.03411308,0.001283564,0.0001729956,0.00008811916,0.000008556521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431958,"about_ca_system_score_gemma":0.001237295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002615846,"about_ca_topic_score_gemma":0.0003717107,"domain_scores_codex":[0.9975024,0.0001170278,0.0002137265,0.0003849072,0.001380556,0.0004013875],"domain_scores_gemma":[0.9974673,0.0003055425,0.0001563907,0.0002546521,0.00162194,0.0001941594],"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":[0.00003173417,0.00007089561,0.01022866,0.00001276693,0.000007926335,2.276053e-7,0.03876713,0.000002007661,0.2220537,0.2055001,0.0002441295,0.5230808],"study_design_scores_gemma":[0.001730971,0.001484467,0.3599847,0.0005121361,0.00004539159,0.000005661857,0.04754522,0.0002479038,0.2155148,0.3481347,0.02379611,0.0009979263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869516,0.0001072464,0.006855223,0.0007946621,0.0003655321,0.0002342202,0.00001944529,0.0000189762,0.00465312],"genre_scores_gemma":[0.9894805,0.00006686879,0.01011453,0.000005977893,0.00001924677,0.000008811843,1.244856e-7,0.000003939693,0.0002999879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5220828,"threshold_uncertainty_score":0.9685155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0836606138520532,"score_gpt":0.4237697054642974,"score_spread":0.3401090916122442,"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."}}