{"id":"W6939297783","doi":"10.6068/dp171704c09bc86","title":"TREND: United States Census Bureau. Land/Density: Population Density | State: New York | County: Albany, Allegany, Bronx, Broome, Cattaraugus, Cayuga, Chautauqua, Chemung, Chenango, Clinton, Columbia, Cortland, Delaware, Dutchess, Erie, Essex, Franklin, Fulton, Genesee, Greene, Hamilton, Herkimer, Jefferson, Kings, Lewis, Livingston, Madison, Monroe, Montgomery, Nassau, New York, Niagara, Oneida, Onondaga, Ontario, Orange, Orleans, Oswego, Otsego, Putnam, Queens, Rensselaer, Richmond, Rockland, Saint Lawrence, Saratoga, Schenectady, Schoharie, Schuyler, Seneca, Steuben, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Washington, Wayne, Westchester, Wyoming, Yates, 1996 - 2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-011-003","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Boundary (topology); American Community Survey; Population statistics; Geographic information system","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005541418,0.008595717,0.009583652,0.003330053,0.002528322,0.01008624,0.01730122,0.005907902,0.007262952],"category_scores_gemma":[0.001216947,0.009994513,0.0002571544,0.004060689,0.001826331,0.007011846,0.00889598,0.01140085,0.001965722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00326613,"about_ca_system_score_gemma":0.003422155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892721,"about_ca_topic_score_gemma":0.9895961,"domain_scores_codex":[0.9582322,0.003326261,0.008633403,0.01400163,0.007814054,0.007992417],"domain_scores_gemma":[0.9611075,0.002614023,0.009240361,0.01959764,0.0002392646,0.007201199],"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":[0.005157215,0.002003096,0.02642322,0.001990008,0.006494852,0.003907409,0.001180839,0.0003917137,0.00006473446,0.00003371991,0.947871,0.004482233],"study_design_scores_gemma":[0.01319063,0.0009446725,0.005688274,0.001977231,0.0056872,0.001043965,0.0006635873,0.00338936,0.00001315966,0.00003611259,0.957235,0.01013082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001838247,0.05326695,0.0002226163,0.0003829837,0.002957586,0.006717956,0.9310029,0.003124707,0.000486114],"genre_scores_gemma":[0.000641991,0.01021741,0.005708105,0.003195857,0.003394075,0.0001598968,0.9579284,0.004922743,0.01383149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04304954,"threshold_uncertainty_score":0.9991199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540071569741715,"score_gpt":0.2486082225251826,"score_spread":0.2132075068277655,"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."}}