{"id":"W3115861958","doi":"10.32370/ia_2020_12_8","title":"Humans as Genetic Information Carriers in the Pandemic Conditions (Criminal, Criminal Legal, and Civil Legal Aspects)","year":2020,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Witness; Identification (biology); Criminal case; Criminology; Political science; Sociology; Law; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000170885,0.000156378,0.0002191862,0.0001820931,0.000167463,0.0003106158,0.0002771382,0.00004560389,0.0005730256],"category_scores_gemma":[0.0004548359,0.0001531903,0.0000755147,0.0002450804,0.00024846,0.001018263,0.00004770158,0.0003070841,0.0009958474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004204095,"about_ca_system_score_gemma":0.00005451187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003378106,"about_ca_topic_score_gemma":0.0003210834,"domain_scores_codex":[0.9988037,0.00003142708,0.0006170404,0.0002070296,0.00007235764,0.000268394],"domain_scores_gemma":[0.9993199,0.0002931457,0.0001225432,0.0001439389,0.00002166827,0.00009886349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007631156,0.00003774181,0.0008560237,0.00009667886,0.00004418122,0.0000112205,0.1089545,0.0007673707,0.00001448018,0.8796758,0.007920638,0.001545084],"study_design_scores_gemma":[0.001410122,0.001110719,0.01780936,0.0000597607,0.00005342861,0.0002139333,0.02146865,0.009037215,0.00009954697,0.1939272,0.7540455,0.0007645143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5695843,0.0001901971,0.01284357,0.001764218,0.0001381645,0.0004338624,0.0004309851,0.00005816952,0.4145566],"genre_scores_gemma":[0.9960294,0.0001467291,0.000173528,0.003387916,0.00007396436,0.00004632522,0.0000859104,0.00001130596,0.00004485817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7461249,"threshold_uncertainty_score":0.999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833484888412618,"score_gpt":0.2375097815916302,"score_spread":0.199174932707504,"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."}}