{"id":"W2274632997","doi":"10.2172/814292","title":"DOE Safety Metrics Indicator Program (SMIP) Third Quarter FY 2001 Quarterly Report","year":2001,"lang":"en","type":"report","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Quarter (Canadian coin); Database; Transport engineering; Forensic engineering; Engineering; Computer science; Waste management; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006803084,0.001451447,0.0005904456,0.006264723,0.001048605,0.003477559,0.001568992,0.001392885,0.0192612],"category_scores_gemma":[0.01532579,0.0005279445,0.0003187824,0.008315681,0.0003284458,0.001320581,0.0008002479,0.0009876267,0.008477797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005137361,"about_ca_system_score_gemma":0.01402935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1195167,"about_ca_topic_score_gemma":0.07998891,"domain_scores_codex":[0.9932683,0.0006179319,0.0005379956,0.0003086584,0.004912248,0.0003548245],"domain_scores_gemma":[0.9771425,0.001449601,0.003013258,0.0009055875,0.01675262,0.000736485],"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":[0.00009980342,0.0001315744,0.01194635,0.0002652758,0.00002463692,0.00003335185,0.00006416706,0.001574888,0.0006517118,0.001791472,0.9349496,0.04846708],"study_design_scores_gemma":[0.00005248306,0.0002481403,0.04616116,0.0002759544,0.00004087436,0.00004847339,0.0003373798,0.002368613,0.003535622,0.0007608552,0.9461217,0.00004881664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03456046,0.0027863,0.01378354,0.01408809,0.002513643,0.002960666,0.7107513,0.006495097,0.2120609],"genre_scores_gemma":[0.1026795,0.005815264,0.03247489,0.002371725,0.0004893694,0.002740008,0.7233722,0.001242915,0.128814],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1195167,"threshold_uncertainty_score":0.2376421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051552160581641,"score_gpt":0.4191301249841652,"score_spread":0.3139749089260012,"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."}}