{"id":"W4247579058","doi":"10.4172/2090-2697","title":"Journal of Forensic Biomechanics","year":2018,"lang":"fr","type":"paratext","venue":"Journal of Forensic Biomechanics","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Philippe Pinel de Montréal","funders":"","keywords":"Biomechanics; Forensic science; Computer science; Biology; Anatomy; Genetics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001556083,0.001054795,0.001948119,0.0007387379,0.0002281763,0.0001655572,0.001709066,0.001778589,0.0004924692],"category_scores_gemma":[0.0002391698,0.000901435,0.001855855,0.0008468793,0.0005426002,0.00004416201,0.0005165245,0.001463196,0.0003371328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279242,"about_ca_system_score_gemma":0.001718632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008615131,"about_ca_topic_score_gemma":0.00001486864,"domain_scores_codex":[0.9936383,0.0002541358,0.003155765,0.0005724406,0.001297373,0.001082014],"domain_scores_gemma":[0.9870826,0.00007514745,0.00636939,0.0009361439,0.004776225,0.000760466],"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":[0.0008440285,0.0005282353,0.000005274046,0.0005164265,0.001709043,0.00009760907,0.000150609,0.00009057952,0.5735013,0.0005603947,0.3179008,0.1040957],"study_design_scores_gemma":[0.001781403,0.01016267,0.000004866904,0.000853735,0.0006922064,0.001888343,0.0001279402,0.001789772,0.5303206,0.004370292,0.4472773,0.0007308596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.708441,0.0999156,0.09509869,0.002309609,0.08858885,0.001076931,0.001303102,0.00001239531,0.00325383],"genre_scores_gemma":[0.84421,0.06354895,0.04001436,0.001528739,0.03528919,0.000006435808,0.0004156205,0.0005270074,0.01445964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1357691,"threshold_uncertainty_score":0.9995173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363009622146156,"score_gpt":0.2550573265536029,"score_spread":0.2414272303321413,"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."}}