{"id":"W6958103429","doi":"10.6068/dp15f99e0f96a50","title":"TREND: United States Census Bureau. Federal Aid and Assistance [Archive]: Total Funds | State: North Carolina | Recipient*: All Recipients | Federal Program Name: CONSOLIDATED GRANT PROGRAMS (FEMA), 2005/1 - 2008/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-039-003","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; American Community Survey; Federal funds; Population; Government (linguistics); Statutory law; State (computer science); Quarter (Canadian coin)","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":[0.00158755,0.001690347,0.001697202,0.00607154,0.00104146,0.003282528,0.002833796,0.001187771,0.1447703],"category_scores_gemma":[0.01403894,0.001100044,0.001071216,0.024432,0.000382814,0.003660088,0.002173594,0.002980406,0.1594803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002966042,"about_ca_system_score_gemma":0.00736948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1535422,"about_ca_topic_score_gemma":0.1160009,"domain_scores_codex":[0.9977806,0.0002640603,0.0003536706,0.0005210033,0.0007998596,0.0002807866],"domain_scores_gemma":[0.9875531,0.001323239,0.001122487,0.001051518,0.008384983,0.0005646633],"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":[0.000008809672,0.000006269386,0.0004361052,0.0001648203,0.000007958139,0.00000367771,0.00001670497,0.00003709084,0.00001018602,0.0003304793,0.9974841,0.001493773],"study_design_scores_gemma":[0.00004863473,0.000005243267,0.0052373,0.0003323301,0.00001873781,0.00001239321,0.0001662227,0.00009031831,0.00006283319,0.0006463958,0.9933605,0.00001906231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004111376,0.00002952856,0.00004418306,0.00008696879,0.00003991112,0.00001752196,0.9983793,0.00008488534,0.001276534],"genre_scores_gemma":[0.0003401538,0.0001427117,0.0002963738,0.0001126003,0.00002544018,0.000250851,0.9963702,0.0001320486,0.002329661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1535422,"threshold_uncertainty_score":0.4843049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880189184350122,"score_gpt":0.3081510038411852,"score_spread":0.269349111997684,"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."}}