{"id":"W2891822127","doi":"","title":"Designing Affordable Housing with Cree, Anishinabe, and Metis People","year":2010,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Affordable housing; Political science; Business; Economic growth; Economics; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001381433,0.0002850629,0.0001699468,0.0003333611,0.003261138,0.002707339,0.0009113455,0.0006960708,0.007237154],"category_scores_gemma":[0.001606222,0.000297802,0.0002898545,0.0002573269,0.001131639,0.002106389,0.002659444,0.0004650918,0.0005429043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113286,"about_ca_system_score_gemma":0.002131417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369402,"about_ca_topic_score_gemma":0.06985109,"domain_scores_codex":[0.9992448,0.0003759292,0.00001723397,0.00008064594,0.0001151974,0.0001661923],"domain_scores_gemma":[0.9997016,0.00007349456,0.0000280564,0.00003236925,0.00006127496,0.0001032413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005136708,0.002529322,0.1676239,0.0006204647,0.0001775084,0.003623207,0.1529698,0.02563021,0.02683777,0.1792928,0.02697475,0.4132068],"study_design_scores_gemma":[0.0001654088,0.001623475,0.06732417,0.0004756412,0.0003712562,0.001593528,0.4363067,0.06612653,0.0146737,0.05804215,0.3531295,0.0001679714],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8276623,0.0002397196,0.08639751,0.002506086,0.00006987256,0.0003511904,0.00005522901,0.0002044159,0.08251371],"genre_scores_gemma":[0.9212612,0.0001023287,0.06584702,0.0001264826,0.000007488474,0.000107924,0.00003584458,0.00004109903,0.01247071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.986306,"threshold_uncertainty_score":0.02722859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331262645950199,"score_gpt":0.3389355701063294,"score_spread":0.2756229436468274,"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."}}