{"id":"W6901675978","doi":"10.6068/dp15ff6e313ee95","title":"Map of Counties (2010). United States Census Bureau. 2010 US Census of Population and Housing: Summary File 1: Group Quarters Population in Nursing Facilities/Skilled-Nursing Facilities by Sex by Age | Country: USA | State: New Hampshire | Description*: Total Population, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-045-245.","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; Residence; Population; American Community Survey; Government (linguistics); 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":[0.0008081437,0.001541153,0.001168067,0.004327995,0.0007269689,0.002082984,0.001953632,0.000633047,0.1457533],"category_scores_gemma":[0.004606226,0.0006636666,0.001004061,0.01730561,0.0002493594,0.001903279,0.001382222,0.001856309,0.104314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848352,"about_ca_system_score_gemma":0.004638958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1846417,"about_ca_topic_score_gemma":0.16117,"domain_scores_codex":[0.9989657,0.0001587006,0.000105704,0.0002778752,0.0003129641,0.0001789205],"domain_scores_gemma":[0.9961619,0.0003174569,0.0002573965,0.0001664827,0.002906698,0.0001900339],"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":[0.00001699994,0.000009924363,0.0009140951,0.0003217265,0.0000119198,0.00001174127,0.00004786732,0.0001354863,0.00002342246,0.0004375885,0.9953696,0.002699672],"study_design_scores_gemma":[0.0001029875,0.00001316532,0.0162743,0.000395745,0.00002600251,0.00004367448,0.0005409755,0.0003121957,0.00008014669,0.0006195292,0.9815661,0.00002520946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002032856,0.0001032357,0.0001024949,0.0001092845,0.00006732468,0.00003378479,0.9956208,0.0001241679,0.003635596],"genre_scores_gemma":[0.002193867,0.0004093514,0.00143371,0.0001466491,0.00003372662,0.0003560952,0.9894126,0.0002006117,0.005813336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1846417,"threshold_uncertainty_score":0.4875935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184322811827471,"score_gpt":0.2847016305838317,"score_spread":0.242858402465557,"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."}}