{"id":"W2104414368","doi":"10.1080/00085030.2006.10757144","title":"General Guidelines for Categorization and Interpretation of Mixed STR DNA Profiles","year":2006,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Categorization; Sorting; Sample (material); Computer science; Natural language processing; Artificial intelligence; Algorithm; Chemistry; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03335971,0.003167377,0.002249185,0.01456781,0.003554346,0.007240595,0.0102286,0.007042123,0.01446598],"category_scores_gemma":[0.08263898,0.002875975,0.002200241,0.006448038,0.00417341,0.004456009,0.003806944,0.005632682,0.0210361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002511994,"about_ca_system_score_gemma":0.007438016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008055466,"about_ca_topic_score_gemma":0.01511843,"domain_scores_codex":[0.9704899,0.01160428,0.007531103,0.001678397,0.007970434,0.000725964],"domain_scores_gemma":[0.9246042,0.02577684,0.004196772,0.008189304,0.03605883,0.001174083],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003771745,0.0005941839,0.005403628,0.004451434,0.0001523032,0.00396059,0.006107949,0.0119401,0.02433881,0.1451999,0.2653968,0.5320771],"study_design_scores_gemma":[0.0001539309,0.0004464156,0.00809114,0.005770101,0.0001849165,0.006017028,0.003205865,0.02746056,0.02005165,0.1763657,0.7517067,0.000546028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003161235,0.002284421,0.9590752,0.004042218,0.0006216107,0.005156753,0.003183424,0.006020303,0.01645487],"genre_scores_gemma":[0.003562433,0.0009707025,0.9862773,0.0008703903,0.0001146171,0.002538635,0.001940225,0.0003205543,0.003405173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9666403,"threshold_uncertainty_score":0.1764251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103035640249113,"score_gpt":0.3037521023505141,"score_spread":0.282721745948023,"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."}}