{"id":"W4310083995","doi":"10.5206/ijoh.2022.2.14590","title":"Implementing Wet Services in Montréal for Highly Vulnerable People Experiencing Homelessness who Use Alcohol","year":2022,"lang":"en","type":"article","venue":"International Journal on Homelessness","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Health Canada","keywords":"Social exclusion; Medicalization; Context (archaeology); Population; Harm; Social Welfare; Public relations; Focus group; Housing First; Psychology; Social work; Sociology; Nursing; Business; Medicine; Political science; Social psychology; Mental health; Psychiatry; Marketing; Environmental health; Mental illness; Law; Geography","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":[0.00169538,0.0003134365,0.0001796994,0.0003688917,0.008921606,0.001320019,0.001792239,0.0006051527,0.007050179],"category_scores_gemma":[0.003481206,0.0002869772,0.0003631022,0.000504315,0.002227898,0.001005072,0.003663435,0.0009248666,0.0002913778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02044405,"about_ca_system_score_gemma":0.06388322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8647783,"about_ca_topic_score_gemma":0.961135,"domain_scores_codex":[0.9988696,0.0003552139,0.00002114767,0.0000441058,0.0001040094,0.0006058539],"domain_scores_gemma":[0.9975244,0.0001822938,0.0002145053,0.00005039063,0.0004500696,0.001578205],"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":[0.0009904164,0.002932037,0.3353962,0.002534086,0.0001820731,0.01010461,0.1747053,0.001510369,0.01508134,0.006934527,0.06770623,0.3819228],"study_design_scores_gemma":[0.0003234007,0.002511536,0.6446291,0.001118006,0.0001474922,0.0007526729,0.2575007,0.001069703,0.001956373,0.001217396,0.08857525,0.0001983638],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637069,0.0008149345,0.0009593982,0.01305037,0.0001216981,0.001349367,0.0004204323,0.0001441972,0.01943261],"genre_scores_gemma":[0.9884259,0.0007081446,0.003191649,0.002038263,0.00003287607,0.0004878017,0.0001610404,0.00001534168,0.004939063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352217,"threshold_uncertainty_score":0.2720361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265646497538398,"score_gpt":0.3895812107742986,"score_spread":0.3469247457989146,"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."}}