{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014983,0.00172441,0.001884252,0.003238122,0.000931351,0.002445474,0.002755912,0.001118484,0.1098595],"category_scores_gemma":[0.008953816,0.0009746468,0.001148777,0.01610261,0.0004337249,0.002444148,0.001472367,0.002904398,0.1152244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002905367,"about_ca_system_score_gemma":0.006235019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.234062,"about_ca_topic_score_gemma":0.2115488,"domain_scores_codex":[0.9988048,0.0001242674,0.0002272193,0.0003604307,0.00029149,0.0001918326],"domain_scores_gemma":[0.9941034,0.0006914073,0.0004879756,0.0005060299,0.003833933,0.0003772784],"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":[0.00001368075,0.000007017299,0.0007561595,0.0002060027,0.00001129887,0.000004630112,0.00001394068,0.0000515957,0.00001453938,0.0001891671,0.9975617,0.001170279],"study_design_scores_gemma":[0.0002846665,0.00001107931,0.01226513,0.0004717019,0.00004217139,0.00002466441,0.0002623947,0.0002560242,0.0001206808,0.0008040918,0.9854228,0.00003455387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004862295,0.00002126393,0.00003253441,0.0000502898,0.00003243267,0.00001251592,0.9991885,0.00005527079,0.0005585694],"genre_scores_gemma":[0.0004721972,0.00009329682,0.0002309418,0.00008659905,0.00002050186,0.0002230212,0.9973653,0.00007807263,0.001430183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.234062,"threshold_uncertainty_score":0.4653993,"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."}}