{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001451496,0.0001439067,0.0004671071,0.0001511712,0.002097733,0.00007350921,0.0003693423,0.00008833342,0.0001189676],"category_scores_gemma":[0.00006838165,0.00009037761,0.0004738225,0.001103233,0.0003533039,0.0001590711,0.00005945095,0.0002525252,0.000001273471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672177,"about_ca_system_score_gemma":0.0001487291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552298,"about_ca_topic_score_gemma":0.02488642,"domain_scores_codex":[0.9979618,0.0008718055,0.0002746275,0.0001426894,0.0005135254,0.00023552],"domain_scores_gemma":[0.998422,0.0004918519,0.0004882945,0.000118187,0.0004134311,0.00006625712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0131866,0.0007775307,0.05286308,0.00002873143,0.02317138,0.0001268134,0.7510489,0.09560276,0.000486482,0.007817595,0.02530852,0.02958159],"study_design_scores_gemma":[0.004323859,0.0005077083,0.7372883,0.0001361704,0.008051356,0.00001474799,0.2211671,0.01197709,0.000006061664,0.003069983,0.01274703,0.0007106484],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966554,0.0002109301,0.02103147,0.009334347,0.000507362,0.0001172583,0.00003352234,0.00001071622,0.002200352],"genre_scores_gemma":[0.9979916,0.0004000254,0.00002688612,0.0001580467,0.0009787501,7.142799e-8,0.000004914556,0.000005872665,0.0004337941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6844252,"threshold_uncertainty_score":0.9992014,"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."}}