{"id":"W167135184","doi":"10.1520/jfs15150j","title":"Forensic Textile Fiber Examination Across the USA and Europe","year":2001,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Work (physics); Medicine; Forensic engineering; Engineering","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":[0.004387202,0.0002441225,0.0003906478,0.004172271,0.000968231,0.001285063,0.0005564043,0.0006542379,0.001905761],"category_scores_gemma":[0.006106053,0.000249015,0.0002830556,0.003738339,0.0007435314,0.0009029412,0.001861134,0.0003437002,0.0002848751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009227709,"about_ca_system_score_gemma":0.00117965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960499,"about_ca_topic_score_gemma":0.04679779,"domain_scores_codex":[0.9955457,0.00138932,0.000473662,0.0007685932,0.001301304,0.0005213754],"domain_scores_gemma":[0.9924139,0.001739188,0.001568108,0.0005180999,0.003195881,0.0005647934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004539127,0.0001748873,0.812745,0.0002613501,0.0001570517,0.001405682,0.005771854,0.000275856,0.005176947,0.001101327,0.004716771,0.1677593],"study_design_scores_gemma":[0.00000896139,0.0001562952,0.9795517,0.0001681305,0.00004367988,0.001703263,0.003979562,0.0001319132,0.0007514763,0.0001354058,0.01335202,0.00001766223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749421,0.004170232,0.0008287963,0.001431414,0.00006389388,0.00007437437,0.0005628034,0.00003534098,0.01789091],"genre_scores_gemma":[0.9911029,0.002682744,0.001549692,0.0009495813,0.00002924134,0.00003263458,0.0006587937,0.00001799493,0.002976577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960499,"threshold_uncertainty_score":0.03898174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956669707758478,"score_gpt":0.3278165513386209,"score_spread":0.2982498542610361,"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."}}