{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001231311,0.00005930951,0.0002386133,0.00005651057,0.003002486,0.000006343124,0.0001075104,0.0002148247,0.0003028334],"category_scores_gemma":[0.00009129236,0.00003892415,0.0000483464,0.00003231518,0.0004445392,0.00007380475,0.00001800989,0.0006059899,0.00001859023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765278,"about_ca_system_score_gemma":0.0007867195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00853736,"about_ca_topic_score_gemma":0.05696942,"domain_scores_codex":[0.9986529,0.0006088122,0.0002119374,0.00003554175,0.00005930076,0.0004315058],"domain_scores_gemma":[0.9991442,0.0002645582,0.0001932688,0.00004035524,0.00009015347,0.0002674947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00000762327,0.000004311631,0.2383922,0.00001999534,0.00003038606,0.000006510649,0.7387477,1.020529e-7,0.00006429146,0.01746247,0.00191498,0.003349508],"study_design_scores_gemma":[0.0004785497,0.0000503144,0.4581596,0.00004842476,0.00006036539,0.000009989901,0.451877,0.000002870028,0.000004079373,0.01046575,0.0787197,0.0001233712],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979717,0.002361882,0.00002012167,0.01458599,0.0008216071,0.00006098358,0.000005543629,0.000003165053,0.002423736],"genre_scores_gemma":[0.9970249,0.00001702637,0.00003409679,0.0008966837,0.001811631,0.000001397975,8.396742e-7,0.000008993421,0.000204426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2868706,"threshold_uncertainty_score":0.9982955,"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."}}