{"id":"W7030376600","doi":"","title":"Monroe County Census Tract &amp; Voting District Maps","year":2010,"lang":"en","type":"other","venue":"MOspace Institutional Repository (University of Missouri)","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Precinct; Voting; Census tract; Block (permutation group theory); 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":[0.0002411748,0.0005214655,0.0002270429,0.002679138,0.000930153,0.0009712503,0.0008963643,0.000230806,0.162466],"category_scores_gemma":[0.001793845,0.0003667579,0.0001952235,0.006760764,0.0001549819,0.0006751042,0.0005479146,0.0005248945,0.0599243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316779,"about_ca_system_score_gemma":0.003675548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4030274,"about_ca_topic_score_gemma":0.5805894,"domain_scores_codex":[0.9997036,0.00003273045,0.00001547907,0.00004269955,0.0001324667,0.00007288787],"domain_scores_gemma":[0.9991273,0.00005407959,0.00007958643,0.00006539794,0.0005685588,0.0001049817],"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":[0.00002252297,0.00002556098,0.001992994,0.0000876642,0.000002665106,0.00001860415,0.00009371287,0.0001589896,0.00007990897,0.001099813,0.9857933,0.01062442],"study_design_scores_gemma":[0.00001812146,0.000008676107,0.03647023,0.00005316089,0.000004603392,0.0000198788,0.0003807051,0.0004679055,0.0001947885,0.0002245147,0.9621477,0.000009774459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00539363,0.0001099641,0.0006065031,0.0002702209,0.00006991394,0.0002322892,0.796093,0.0005316599,0.1966928],"genre_scores_gemma":[0.02047759,0.0003862191,0.002295876,0.0001386103,0.00003387798,0.0005396945,0.5066199,0.0003993727,0.4691088],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4030274,"threshold_uncertainty_score":0.8013629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009195642814064582,"score_gpt":0.1805741671035737,"score_spread":0.1713785242895092,"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."}}