{"id":"W4233692918","doi":"10.1520/jfs2002326","title":"Author's Response","year":2003,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadian Seaplants (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002567417,0.00006703069,0.0001019763,0.00009099851,0.0001075984,0.00003452593,0.0002303893,0.00005225724,0.00003839688],"category_scores_gemma":[0.001123666,0.00004600014,0.0000922261,0.0001941229,0.0005229049,0.00000515706,0.00002649549,0.00007678806,0.000006736112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007360088,"about_ca_system_score_gemma":0.000396708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001593813,"about_ca_topic_score_gemma":0.000003265789,"domain_scores_codex":[0.9989071,0.0001666028,0.0002174939,0.000125137,0.0003812214,0.0002024742],"domain_scores_gemma":[0.9994152,0.00004292009,0.0001260377,0.0001267353,0.0001868034,0.0001022936],"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":[0.001252295,0.0001164546,0.01779041,0.00001061796,0.00009929939,0.00007324923,0.000295547,0.0006220104,0.7277163,0.005611984,0.2154842,0.03092768],"study_design_scores_gemma":[0.0007154741,0.003597331,0.01285917,0.00002657112,0.00001400301,0.0009224016,0.0008993046,0.00003460855,0.7097007,0.004675561,0.2663688,0.0001860141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935946,0.001043835,0.0007819511,0.001127225,0.0004154763,0.00003562236,7.053986e-7,0.000001197147,0.002999426],"genre_scores_gemma":[0.9891306,0.00003266504,0.00823669,0.000143458,0.0001242676,4.841059e-7,1.946786e-7,0.000004164363,0.002327504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05088466,"threshold_uncertainty_score":0.1926665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846571396647438,"score_gpt":0.3504123182774298,"score_spread":0.3119466043109554,"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."}}