{"id":"W4379230441","doi":"10.1089/forensic.2023.0008.editorial","title":"Introducing the New Editorial Team","year":2023,"lang":"es","type":"article","venue":"Forensic Genomics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Officer; Identification (biology); Computer science; Political science; Law; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007261997,0.0003163682,0.0002667994,0.00008472814,0.0003265439,0.000197503,0.0006366851,0.0004132685,0.0000443979],"category_scores_gemma":[0.000372653,0.0002439417,0.000232939,0.0003791197,0.0004021587,0.000003702233,0.0007110618,0.0003935792,0.0009576172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005757951,"about_ca_system_score_gemma":0.000877901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001629076,"about_ca_topic_score_gemma":0.00006170655,"domain_scores_codex":[0.9975843,0.0001026232,0.0003751661,0.0006758838,0.0004391451,0.0008228535],"domain_scores_gemma":[0.9982916,0.00006465384,0.0001166145,0.001115006,0.0001766463,0.0002355374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001128717,0.00001306544,0.0002144525,0.00002478525,0.0001356837,0.000003175893,0.0002687685,0.001128169,0.03641,0.0004676043,0.9336826,0.02753887],"study_design_scores_gemma":[0.0006608458,0.0003504418,0.0007086963,0.00001738764,0.00005125066,0.0000139284,0.0003806124,0.0007111988,0.03394035,0.001218489,0.9616485,0.0002983566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869091,0.00385742,0.0008857921,0.01330026,0.103423,0.001297295,0.0001664242,0.000100959,0.007877882],"genre_scores_gemma":[0.5346827,0.006252383,0.001532494,0.0007327982,0.4230753,0.00003733329,0.0009357514,0.0002149649,0.03253623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3344083,"threshold_uncertainty_score":0.9998202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009161885309311953,"score_gpt":0.2608851981582079,"score_spread":0.2517233128488959,"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."}}