{"id":"W6986348734","doi":"","title":"Performance Measures Quarterly. 2015: 4th quarter.","year":2015,"lang":"en","type":"article","venue":"State Elections Enforcement Commission (State of Connecticut)","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Quarter (Canadian coin); Numbering; Measure (data warehouse); Data collection","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":[0.004605089,0.002000253,0.00109682,0.005615543,0.0006971439,0.004337824,0.001327338,0.001119273,0.09153635],"category_scores_gemma":[0.02213031,0.0006962745,0.0005906493,0.01123894,0.0004788422,0.00269085,0.00130287,0.00243301,0.133569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003607002,"about_ca_system_score_gemma":0.003956574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02965449,"about_ca_topic_score_gemma":0.01897417,"domain_scores_codex":[0.9947453,0.0006274254,0.0009692053,0.0004156606,0.002796079,0.0004463941],"domain_scores_gemma":[0.9845523,0.001628501,0.002467929,0.0006152441,0.009811671,0.0009243169],"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":[0.00004570207,0.00002150938,0.001219624,0.000138705,0.000006011284,0.00000337614,0.00001423892,0.00008500306,0.00001766651,0.0007435592,0.9828401,0.01486441],"study_design_scores_gemma":[0.00006975091,0.0001145765,0.04888304,0.0004182232,0.00002393107,0.00003562956,0.0002269751,0.0005115306,0.000301899,0.00123148,0.9481476,0.0000353792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004279777,0.008868289,0.001965201,0.00968309,0.005626691,0.0004498853,0.8473665,0.002122969,0.1196376],"genre_scores_gemma":[0.04997315,0.009331434,0.003140836,0.002933537,0.002007281,0.001929489,0.6869345,0.00156751,0.2421823],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09153635,"threshold_uncertainty_score":0.3062196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149215427018763,"score_gpt":0.3046339500776656,"score_spread":0.2731417958074779,"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."}}