{"id":"W2967869001","doi":"","title":"AN ANALYSIS OF THE SOCIO-ECONOMIC ANTECEDENTS OF HOUSING INSECURITY","year":2018,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Job insecurity; Food insecurity; Socioeconomics; Demographic economics; Business; Geography; Economics; Work (physics); Engineering; Food security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000244311,0.00007103241,0.0001915567,0.0002541674,0.0004166805,0.00001383908,0.0004994135,0.00007867096,0.0002563676],"category_scores_gemma":[0.0000196876,0.00006444666,0.0001359106,0.0007636084,0.0007902686,0.0002002992,0.00007431271,0.00005485904,0.000004595575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207779,"about_ca_system_score_gemma":0.0002057294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002615365,"about_ca_topic_score_gemma":0.02423658,"domain_scores_codex":[0.9991667,0.0001819818,0.0001337181,0.0001624808,0.0001875245,0.000167561],"domain_scores_gemma":[0.999384,0.0000492296,0.0001820715,0.0002117592,0.0001092338,0.00006364614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002137943,0.0004046327,0.5681468,0.00003999449,0.002021286,0.00001406096,0.1529708,0.000169336,0.001891325,0.2709994,0.001633294,0.001495202],"study_design_scores_gemma":[0.000971612,0.0001527594,0.7024514,0.00006520446,0.001342062,2.827444e-7,0.1793287,0.0007163292,0.00296542,0.001640241,0.1097709,0.000595113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639506,0.00002519059,0.00005774206,0.000294388,0.0001703192,0.00006660386,0.00001843771,0.00002141339,0.03539527],"genre_scores_gemma":[0.9987152,0.0001490736,0.00007469294,0.00001975309,0.00003502371,5.505309e-8,0.000002493417,0.000003659802,0.001000003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2693592,"threshold_uncertainty_score":0.9935685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909206448742447,"score_gpt":0.2628905795959812,"score_spread":0.2437985151085568,"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."}}