{"id":"W2183615535","doi":"10.82396/cjcd.v6i1.3007","title":"Making the Transition to Re-Employment: Social Networks and Their Impact on Social Assistance Recipients","year":2021,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Social assistance; Welfare; Scale (ratio); Demographic economics; Social network (sociolinguistics); Control (management); Labour economics; Business; Field (mathematics); Psychology; Economics; Economic growth; Political science; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701559,0.0001790278,0.0002332248,0.0007823238,0.002566753,0.002175222,0.0004391169,0.0005464749,0.00418973],"category_scores_gemma":[0.005984135,0.0001332758,0.000180411,0.0004277621,0.001292212,0.001250073,0.002398578,0.0007905855,0.0002087394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440284,"about_ca_system_score_gemma":0.001469322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009409148,"about_ca_topic_score_gemma":0.01654664,"domain_scores_codex":[0.9984231,0.000861645,0.00003775125,0.0000785774,0.0002091995,0.0003897794],"domain_scores_gemma":[0.9967945,0.001038273,0.0007503668,0.00008160339,0.0002227366,0.001112529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007773089,0.004299581,0.7076322,0.0001187527,0.00008661701,0.0009816482,0.19181,0.0002333851,0.001804888,0.003967087,0.001076664,0.08721184],"study_design_scores_gemma":[0.00004532665,0.0006131892,0.7205879,0.00009234528,0.00005728941,0.0002495775,0.2711683,0.0004094493,0.0003327496,0.001054521,0.005361561,0.00002782526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967726,0.00006792693,0.00002833374,0.0002750639,0.000005426677,0.00001075281,0.000007010772,8.691259e-7,0.002832091],"genre_scores_gemma":[0.9993994,0.00007249473,0.00002703974,0.00002385439,0.000003271102,0.000008469598,0.000006037267,6.236326e-7,0.0004588341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009409148,"threshold_uncertainty_score":0.01870877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299908966433848,"score_gpt":0.2989278986511448,"score_spread":0.2659288089868063,"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."}}