{"id":"W1528698514","doi":"10.29173/cjs10114","title":"Missing persons and social exclusion","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Social exclusion; Disadvantaged; Disadvantage; Sociology; Missing data; Population; Census; Social psychology; Demographic economics; Psychology; Political science; Demography; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006292588,0.0001465307,0.0004996281,0.003161365,0.005935544,0.001935774,0.0007741728,0.0008264123,0.006166984],"category_scores_gemma":[0.02930816,0.0001321414,0.000315807,0.001946159,0.01224227,0.002170918,0.00575895,0.001808628,0.0001568585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553127,"about_ca_system_score_gemma":0.003937337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134259,"about_ca_topic_score_gemma":0.01951946,"domain_scores_codex":[0.9900352,0.006009017,0.0003298087,0.0004213771,0.00172237,0.001482276],"domain_scores_gemma":[0.9713926,0.01515915,0.006498909,0.0009204127,0.001667441,0.004361614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003131526,0.0002625176,0.4849725,0.0003618151,0.0000899044,0.002373017,0.1384804,0.0005194935,0.0001825172,0.2739259,0.01010177,0.08841702],"study_design_scores_gemma":[0.00004988117,0.0003561297,0.5027077,0.001733682,0.00008632702,0.003380781,0.2038857,0.001377945,0.0003154771,0.2095386,0.07646164,0.0001060815],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147732,0.005152144,0.002658169,0.02752894,0.0002923686,0.00004622868,0.0002850574,0.00001531474,0.04924859],"genre_scores_gemma":[0.9982638,0.0005783907,0.0001089445,0.000301057,0.00007734565,0.00001150906,0.00003176567,0.000002246211,0.0006249754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9786574,"threshold_uncertainty_score":0.04243678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001224104595842,"score_gpt":0.4104117884144571,"score_spread":0.3102893779548729,"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."}}