{"id":"W6906691842","doi":"10.17605/osf.io/vp5nq","title":"Threat SMT Targets","year":2017,"lang":"kk","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004244268,0.000828935,0.001158699,0.0001758362,0.001522651,0.0007129366,0.002943007,0.0005111771,0.7913322],"category_scores_gemma":[0.003835261,0.000861498,0.0007539606,0.0001144953,0.0006821795,0.0008012365,0.005753952,0.001440257,0.9133727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648584,"about_ca_system_score_gemma":0.0004113933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004468596,"about_ca_topic_score_gemma":0.0002252706,"domain_scores_codex":[0.9925942,0.0005286236,0.001068964,0.003566335,0.0009781276,0.001263739],"domain_scores_gemma":[0.9828694,0.0004110942,0.0008307105,0.01465222,0.0002604262,0.0009761259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002201083,0.003180124,0.4592193,0.00105816,0.00216162,0.002842419,0.003849985,0.0001081623,0.01407363,0.00487572,0.3775865,0.1288434],"study_design_scores_gemma":[0.005268051,0.00001338161,0.2976251,0.0009788689,0.0012376,0.0004356326,0.0004481167,0.0008064854,0.02176222,0.003441879,0.6666231,0.001359552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1816276,0.00005623311,0.0002979219,0.007991088,0.002287912,0.001604994,0.00008545061,0.0001597601,0.805889],"genre_scores_gemma":[0.6326095,0.000907075,0.0004741738,0.001318698,0.0008159262,0.0001367947,0.00005484218,0.0001020034,0.363581],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4509819,"threshold_uncertainty_score":0.9997773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323075344055017,"score_gpt":0.2934992221456876,"score_spread":0.2702684687051375,"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."}}