{"id":"W4237986780","doi":"10.32920/ryerson.14658258","title":"Building Cities for Families: Attracting and Retaining Households","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Diversity (politics); Exploratory research; Business; Economic growth; Geography; Political science; Sociology; Economics","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":[0.0006915577,0.0001950594,0.00008703904,0.00037003,0.006943148,0.002565436,0.0005321608,0.0005406425,0.007241168],"category_scores_gemma":[0.001132096,0.0001111564,0.00009021971,0.000769349,0.001676501,0.001468653,0.003061884,0.0003625251,0.0006364377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918157,"about_ca_system_score_gemma":0.005913445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09125273,"about_ca_topic_score_gemma":0.2973427,"domain_scores_codex":[0.999586,0.0001661997,0.000008425126,0.00002832054,0.00006707401,0.0001438779],"domain_scores_gemma":[0.9995466,0.00006472102,0.0000537354,0.00002342764,0.00005232379,0.0002591427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006762198,0.0001761839,0.09901003,0.0004960604,0.0000261651,0.002208257,0.4545896,0.0006722542,0.003919982,0.055363,0.06653614,0.3169347],"study_design_scores_gemma":[0.000009416221,0.0001626139,0.06446473,0.000269191,0.00002216765,0.0005967635,0.5665052,0.0002028774,0.0007822905,0.003560396,0.3634041,0.00002016629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831949,0.001947418,0.00308492,0.01759077,0.0001322818,0.0002010564,0.0002633743,0.00006932041,0.1447619],"genre_scores_gemma":[0.9717404,0.002196059,0.003067624,0.0006251637,0.00002837786,0.00008839572,0.0001162637,0.0000151456,0.02212265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09125273,"threshold_uncertainty_score":0.1814432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084965450695645,"score_gpt":0.3407525852079462,"score_spread":0.2322560401383817,"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."}}