{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001877757,0.002601831,0.002311007,0.0009323981,0.0008609396,0.003420938,0.004794169,0.001159625,0.00598925],"category_scores_gemma":[0.0001862543,0.002519763,0.000006436831,0.0004116186,0.002054032,0.001856051,0.00380245,0.001927072,0.008659688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003027009,"about_ca_system_score_gemma":0.000279569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2902964,"about_ca_topic_score_gemma":0.07064488,"domain_scores_codex":[0.9847893,0.002309108,0.002491732,0.004972726,0.00266977,0.0027674],"domain_scores_gemma":[0.9857143,0.0009843548,0.00235825,0.009025107,0.00005732467,0.001860727],"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":[0.002092537,0.001451469,0.0001581818,0.0005914838,0.001546543,0.001052789,0.00002440612,0.00001343194,0.00000867792,0.00004182921,0.9922057,0.0008129398],"study_design_scores_gemma":[0.004559584,0.0009727856,0.00009017207,0.0001975663,0.0006172251,0.0007305666,0.00009030118,0.006093591,6.083066e-8,0.000003077684,0.9838932,0.002751863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002066964,0.002086824,0.000007566876,0.00003778486,0.002538771,0.003258493,0.9897805,0.001286625,0.0009827167],"genre_scores_gemma":[0.000006971414,0.001694997,0.002954139,0.0006027412,0.001139369,0.0001832988,0.9851676,0.001685716,0.006565182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2196516,"threshold_uncertainty_score":0.9986717,"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."}}