{"id":"W7014598550","doi":"","title":"Quarters in Comparison:\\nThe Fairfield Quarter in a Temporal and Geographical Context","year":2009,"lang":"en","type":"article","venue":"ScholarWorks@UMassAmherst (University of Massachusetts Amherst)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quarter (Canadian coin); Period (music); Field (mathematics)","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":[0.0006376721,0.00009652664,0.000275398,0.00134938,0.004435765,0.002367377,0.0004444331,0.0003499807,0.005401651],"category_scores_gemma":[0.002055194,0.0001093298,0.00009568516,0.002634061,0.003360302,0.001964734,0.002437878,0.0005238394,0.00009303159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002444686,"about_ca_system_score_gemma":0.001563889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1127438,"about_ca_topic_score_gemma":0.3409497,"domain_scores_codex":[0.9994246,0.0002481386,0.0000194913,0.00008365759,0.0000613255,0.0001627833],"domain_scores_gemma":[0.9995373,0.00008386859,0.0001503227,0.00003815884,0.0000593455,0.0001309876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002575155,0.0001172671,0.2245608,0.0000865202,0.00003182627,0.001611506,0.7110548,0.0001221057,0.001317003,0.0253481,0.004044135,0.0314485],"study_design_scores_gemma":[0.000004780724,0.00004381234,0.3517759,0.00006595276,0.000009183916,0.0002442997,0.6306175,0.00007875105,0.0001353751,0.0009623625,0.01605097,0.00001095078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944989,0.0002412129,0.00004721745,0.0004412043,0.00001482001,0.000002669706,0.00004415141,0.000001338474,0.004708439],"genre_scores_gemma":[0.9989946,0.00009649934,0.00003787932,0.00002891592,0.000005923717,0.000002082482,0.00003018568,0.00000225658,0.0008014888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127438,"threshold_uncertainty_score":0.2241751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078127175467293,"score_gpt":0.2579776909846236,"score_spread":0.2371964192299507,"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."}}