{"id":"W1973775360","doi":"10.1080/00085030.2005.10757588","title":"Recovery of DNA from Shoes","year":2005,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Computational biology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223069,0.000900297,0.000625095,0.003955415,0.001087517,0.001088884,0.0009478823,0.001623271,0.004051993],"category_scores_gemma":[0.003484944,0.0005565041,0.0008217765,0.002659426,0.0007238491,0.0003742386,0.001089745,0.0008543142,0.006195984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753612,"about_ca_system_score_gemma":0.0005487823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057181,"about_ca_topic_score_gemma":0.006011451,"domain_scores_codex":[0.9983914,0.0001831436,0.0001248412,0.0005176933,0.0005048156,0.0002779507],"domain_scores_gemma":[0.9985785,0.0002331968,0.0001310008,0.0002850388,0.00067481,0.00009743799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007776201,0.0002853966,0.1002447,0.0009671604,0.0001610619,0.003416517,0.003603884,0.0004467499,0.7886636,0.0005104321,0.001687102,0.09923596],"study_design_scores_gemma":[0.0001498364,0.002546108,0.5004458,0.001042033,0.0004424685,0.008140113,0.009957712,0.004645471,0.3544083,0.001444758,0.1166184,0.0001589823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020376,0.007561917,0.05234005,0.0004820973,0.0006452485,0.001674077,0.01644255,0.0003828527,0.01843353],"genre_scores_gemma":[0.8235587,0.006855348,0.09534436,0.001468398,0.0002274669,0.0007607742,0.03650331,0.0002558067,0.03502571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004057181,"threshold_uncertainty_score":0.01355523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008563711064807989,"score_gpt":0.2466786727920353,"score_spread":0.2381149617272273,"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."}}