{"id":"W6976653070","doi":"10.6068/dp1617137ecdb7","title":"TREND: United States Census Bureau. Federal Aid and Assistance [Archive]: Total Funds | State: Alabama | Recipient*: All Recipients | Federal Program Name: WILDLIFE RESTORATION, 1997 - 2010. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-039-003","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Government (linguistics); Federal funds; Population; American Community Survey; State (computer science); Payment; Statutory law; 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":[0.001509784,0.001789094,0.001923701,0.006363314,0.001113315,0.00313517,0.002969362,0.001202262,0.1133471],"category_scores_gemma":[0.01284237,0.001072842,0.001133783,0.02490656,0.000378434,0.003923714,0.001885493,0.003045218,0.1299645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358592,"about_ca_system_score_gemma":0.008529088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1743406,"about_ca_topic_score_gemma":0.119608,"domain_scores_codex":[0.9979066,0.0002138216,0.0003377191,0.0005297051,0.0007509744,0.0002612126],"domain_scores_gemma":[0.9881252,0.001019746,0.001080708,0.0008467109,0.008464389,0.0004631684],"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":[0.00001190281,0.000008719499,0.000637226,0.0002065532,0.00001137796,0.000003961046,0.00001672569,0.0000417597,0.00001281822,0.0003182532,0.9969163,0.001814318],"study_design_scores_gemma":[0.00005475729,0.00000774074,0.00736899,0.0004055131,0.00002707735,0.0000134824,0.0001990834,0.00009681607,0.00006977817,0.0005896589,0.9911476,0.00001954123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006173118,0.0000487434,0.00004228422,0.0001105337,0.00005499839,0.00002128928,0.9982306,0.00007665284,0.001353143],"genre_scores_gemma":[0.0004184815,0.0002087619,0.0002835276,0.0001236793,0.00003096356,0.0002590081,0.9959669,0.0001076756,0.002601064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1743406,"threshold_uncertainty_score":0.3791839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350594918323843,"score_gpt":0.3069706660910476,"score_spread":0.2734647169078092,"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."}}