{"id":"W4415353998","doi":"10.5206/ijoh.2023.3.22863","title":"Decisions for affordable/social housing (DASH) system: Envisioning open and transparent data-informed decision making","year":2025,"lang":"","type":"article","venue":"International Journal on Homelessness","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Affordable housing; Stock (firearms); Public housing; Government (linguistics); Face (sociological concept); Housing industry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.02422817,0.0007242717,0.0008630407,0.001757395,0.002675352,0.009686706,0.003664098,0.002280639,0.007466373],"category_scores_gemma":[0.0334412,0.0008460839,0.001182364,0.002356955,0.003223615,0.007520781,0.008699874,0.003260569,0.002110524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00511854,"about_ca_system_score_gemma":0.01569694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07045414,"about_ca_topic_score_gemma":0.09703036,"domain_scores_codex":[0.9904874,0.004268864,0.0009577654,0.001173541,0.002466461,0.0006460045],"domain_scores_gemma":[0.9769534,0.009573868,0.001229634,0.004690889,0.004567522,0.002984601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000667566,0.0005397599,0.01817485,0.000632107,0.0002378957,0.0009289288,0.004082544,0.1385879,0.002868608,0.5644089,0.1045105,0.1643606],"study_design_scores_gemma":[0.0001495761,0.0001032119,0.001575682,0.0002493329,0.00004992497,0.00009993953,0.002176766,0.4172621,0.003005624,0.295843,0.2793205,0.0001642487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02912821,0.0004645089,0.846539,0.03256238,0.000735221,0.002112331,0.01710781,0.01854775,0.05280284],"genre_scores_gemma":[0.2327137,0.0005991522,0.742255,0.001418888,0.0001615717,0.0008784825,0.01320376,0.0007481667,0.008021221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07045414,"threshold_uncertainty_score":0.1400881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2073389757718904,"score_gpt":0.4750294726211958,"score_spread":0.2676904968493054,"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."}}