{"id":"W7030072960","doi":"","title":"Massachusetts Department of Children and Families quarterly profile (FY 2015, Quarter 1 (July 1, 2014 – September 30, 2014))","year":2014,"lang":"en","type":"other","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; Census","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":[0.001462202,0.0005306423,0.0003271773,0.00234151,0.001582292,0.001728216,0.001153804,0.001502183,0.2542823],"category_scores_gemma":[0.006867449,0.0005466708,0.000291504,0.002555609,0.0002065026,0.00126222,0.001526972,0.001219934,0.1055588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00299133,"about_ca_system_score_gemma":0.007087762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.144888,"about_ca_topic_score_gemma":0.3193094,"domain_scores_codex":[0.9989696,0.00007450776,0.00006647365,0.00008095781,0.0005581195,0.0002504248],"domain_scores_gemma":[0.9962215,0.0003012042,0.000347251,0.0001525145,0.00209311,0.0008843152],"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":[0.00001134885,0.00001450825,0.0005673244,0.0000178717,7.393598e-7,0.000005008872,0.00001347834,0.00001861524,0.00001310297,0.0002873154,0.9930853,0.00596537],"study_design_scores_gemma":[0.00003453279,0.00002485423,0.02870373,0.0001144448,0.00000417126,0.00002438169,0.0001719161,0.00008161017,0.0001041599,0.0002517268,0.970475,0.000009513361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006205239,0.001230943,0.0007822727,0.01544821,0.002327595,0.0005355689,0.5062656,0.001738729,0.4654657],"genre_scores_gemma":[0.0190524,0.002030086,0.001419479,0.005612025,0.001009977,0.001249312,0.156475,0.000514248,0.8126374],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2542823,"threshold_uncertainty_score":0.850659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003405726652119395,"score_gpt":0.2010202393396988,"score_spread":0.1976145126875794,"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."}}