{"id":"W2945097741","doi":"10.1016/j.evalprogplan.2019.05.004","title":"Strengths, weaknesses, opportunities, and threats to housing first in Metro Vancouver","year":2019,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Affordable housing; Subsidy; Subsidized housing; Business; Strengths and weaknesses; Service provider; Landlord; Stigma (botany); Best practice; Workload; Economic growth; Finance; Public relations; Service (business); Marketing; Medicine; Economics; Political science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135992,0.0001156433,0.0002724202,0.0001357258,0.0003475202,0.00003946279,0.00004394945,0.0001207241,0.0002887302],"category_scores_gemma":[0.0001496877,0.0001062321,0.00001307344,0.0001788906,0.0000184421,0.0001627045,0.00005751517,0.0002042627,0.0000154437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007510266,"about_ca_system_score_gemma":0.0001322325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005077834,"about_ca_topic_score_gemma":0.01815257,"domain_scores_codex":[0.998684,0.0002689691,0.0002702373,0.0002234196,0.0002643401,0.0002890294],"domain_scores_gemma":[0.9991817,0.0003988525,0.00008876019,0.0001021734,0.0001134261,0.0001151264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002857433,0.00002761343,0.6518559,0.0001385483,0.000009518024,0.00000313525,0.02526089,0.00005860252,0.000002542734,0.0003492704,0.0001340614,0.3221313],"study_design_scores_gemma":[0.002849327,0.0003190303,0.3721373,0.001877132,0.00006484536,1.097959e-7,0.5010957,0.009642388,0.000008971161,0.001117337,0.1103762,0.0005115847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909898,0.001954992,0.00002403362,0.0002942721,0.0004211813,0.001400508,0.000005626009,0.00007438752,0.004835219],"genre_scores_gemma":[0.9984131,0.0002248336,0.0005797835,0.0001284077,0.00009604142,0.0002326903,0.00003502274,0.00001621041,0.0002739348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4758348,"threshold_uncertainty_score":0.9997636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1743450273847407,"score_gpt":0.4965480976837245,"score_spread":0.3222030702989838,"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."}}