{"id":"W4411965512","doi":"10.1016/j.wss.2025.100282","title":"Integrating siloed data: A methodological approach to housing research in Ottawa, Canada","year":2025,"lang":"en","type":"article","venue":"Wellbeing Space and Society","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Bruyère; Shared Services Canada","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Data science; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02956638,0.0006842914,0.001128407,0.012962,0.02140597,0.01085177,0.004926784,0.001058102,0.005149256],"category_scores_gemma":[0.06105919,0.0009339711,0.001211131,0.03229828,0.006564639,0.00241679,0.00960408,0.001866145,0.0003256826],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1840572,"about_ca_system_score_gemma":0.3221112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961752,"about_ca_topic_score_gemma":0.9977982,"domain_scores_codex":[0.9701694,0.01483639,0.003565433,0.002960771,0.005769905,0.002697937],"domain_scores_gemma":[0.9499714,0.0172108,0.003626777,0.004767249,0.02198498,0.002438677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005666492,0.0002866175,0.2553404,0.006412184,0.00107196,0.00285708,0.2590454,0.01591168,0.00241487,0.1792845,0.04952022,0.2272886],"study_design_scores_gemma":[0.0001449581,0.0001395547,0.2783515,0.00796041,0.0008441757,0.0002940987,0.3315149,0.01254428,0.002603815,0.0394569,0.3256198,0.0005256837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5017602,0.01373439,0.2159075,0.04134353,0.0008829459,0.02606073,0.08079323,0.0008715493,0.1186459],"genre_scores_gemma":[0.7602797,0.003542135,0.1987694,0.002651625,0.00006019838,0.01149839,0.008010816,0.0002653137,0.01492255],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1840572,"threshold_uncertainty_score":0.946378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4074870983253926,"score_gpt":0.4844080966768701,"score_spread":0.07692099835147748,"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."}}