{"id":"W2143508726","doi":"10.15252/embr.201540714","title":"CSI on steroids","year":2015,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Chemistry; Computational biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002755982,0.00007928904,0.0000761816,0.00002165268,0.0000256038,0.00001633361,0.00006384491,0.0000763292,0.00002710308],"category_scores_gemma":[0.0001384399,0.00006610816,0.00004244175,0.00004133773,0.00005439656,9.12449e-7,0.00007125763,0.00005457943,0.00005034378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008841583,"about_ca_system_score_gemma":0.000104338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001486101,"about_ca_topic_score_gemma":0.000007685601,"domain_scores_codex":[0.999168,0.00002668291,0.0001421296,0.0002586741,0.000226307,0.0001782106],"domain_scores_gemma":[0.9992675,0.000002721759,0.00004257799,0.000453806,0.00008721058,0.0001462048],"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":[0.000234876,0.0002073493,0.03140722,0.00001763593,0.0001023342,0.001087427,0.0001919806,0.0003276109,0.1102462,0.0002978331,0.8194502,0.03642935],"study_design_scores_gemma":[0.0003771133,0.001028358,0.006059278,0.000009550651,0.000006020504,0.0004565786,0.00008535335,0.00001977166,0.2310959,0.001087182,0.7595592,0.0002157128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229767,0.0002972079,0.0001519919,0.0001920347,0.000344071,0.00009522846,0.000001112351,0.000009716474,0.07593199],"genre_scores_gemma":[0.9821582,0.000014048,0.0002583751,0.0002805105,0.0002768837,0.000009553853,0.00004483878,0.00001300576,0.01694459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208497,"threshold_uncertainty_score":0.2695813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093942232518796,"score_gpt":0.3053268627862576,"score_spread":0.2743874404610697,"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."}}