{"id":"W2906125161","doi":"10.32920/ryerson.14654823","title":"Household Size as a Determinant of Annual Shelter and Transportation Expenditures in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Respondent; Agricultural economics; Economics; Population; Household income; Geography; Demographic economics; Business; Economic growth; Demography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656252,0.0001808309,0.0002590557,0.0009594374,0.001851536,0.001025459,0.0008183428,0.0002379112,0.006304116],"category_scores_gemma":[0.002972567,0.0001646134,0.0004226418,0.002759261,0.0006835604,0.0003587176,0.0008472061,0.0005064599,0.0002715921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01993187,"about_ca_system_score_gemma":0.02459358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959314,"about_ca_topic_score_gemma":0.997254,"domain_scores_codex":[0.9995054,0.00004325277,0.00002161215,0.00005032835,0.0001773405,0.0002021881],"domain_scores_gemma":[0.997147,0.0003189635,0.0004277159,0.00009291578,0.00121042,0.0008029867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008765038,0.00003024157,0.9871128,0.00002012464,0.00004814093,0.0001257488,0.000623786,0.0007487642,0.0001402059,0.0009629252,0.002884516,0.007215186],"study_design_scores_gemma":[0.000003127769,0.000009599438,0.9957114,0.00002137913,0.0000152322,0.00003966169,0.001538191,0.000675998,0.00005683237,0.00008170448,0.001839085,0.000007800158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878058,0.0003806934,0.0001483767,0.0005968396,0.00001174663,0.00002050533,0.003676822,0.00001862482,0.007340504],"genre_scores_gemma":[0.9959487,0.0002858161,0.0001303981,0.00003603899,0.000002940744,0.000007025691,0.00103109,0.00000655954,0.002551464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993187,"threshold_uncertainty_score":0.1446165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611763640341626,"score_gpt":0.2717189177191536,"score_spread":0.2556012813157374,"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."}}