{"id":"W7010335055","doi":"","title":"Housing Affordability for Top Occupations in Nevada Metros, 2022","year":2022,"lang":"en","type":"report","venue":"Digital Scholarship - UNLV (University of Nevada Reno)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Quarter (Canadian coin); Statistical analysis; Census; Unemployment; Public housing","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":[0.000310334,0.0003710682,0.0001944522,0.001893949,0.000516318,0.0008784466,0.0005424778,0.0002521733,0.01008053],"category_scores_gemma":[0.001160614,0.0002372414,0.0003022792,0.002302568,0.00006674961,0.0006004912,0.0007023538,0.0004306145,0.002119744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230856,"about_ca_system_score_gemma":0.00198832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4333785,"about_ca_topic_score_gemma":0.738302,"domain_scores_codex":[0.9997281,0.00001466459,0.0000264365,0.00003219603,0.0001382141,0.00006024202],"domain_scores_gemma":[0.9993615,0.00003785378,0.0001491577,0.00002607566,0.0002934612,0.0001320487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000226195,0.0001745787,0.5606167,0.0005326169,0.0001027303,0.0002114908,0.0005724934,0.0007761801,0.0004682434,0.001219102,0.3919236,0.04317616],"study_design_scores_gemma":[0.00001661589,0.00002810358,0.9066507,0.0001149826,0.00001727525,0.00006739094,0.00130755,0.0003085938,0.0001536161,0.0001248548,0.09119876,0.00001149208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1828884,0.001671102,0.0002590879,0.001004998,0.0001920163,0.0001221496,0.7804214,0.0001318998,0.03330892],"genre_scores_gemma":[0.3080071,0.002953511,0.001370098,0.0003452165,0.0001086761,0.0006525579,0.6230236,0.0000830627,0.06345625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4333785,"threshold_uncertainty_score":0.8617119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0768656044174343,"score_gpt":0.3019272867357148,"score_spread":0.2250616823182806,"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."}}