{"id":"W3211973151","doi":"","title":"The Effect of Asset Thresholds on Income Assistance Flows in British Columbia","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Welfare; Argument (complex analysis); Social assistance; Social protection; Business; Public economics; Social policy; Test (biology); Economics; Finance; Economic growth; Computer security; Market economy","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":[0.001264648,0.0003185154,0.0006090008,0.001796317,0.003905871,0.002811964,0.001821872,0.0006103076,0.007613734],"category_scores_gemma":[0.01023184,0.0002909453,0.0003260346,0.002794575,0.001601015,0.0006840876,0.00214631,0.001584095,0.0007560268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0548568,"about_ca_system_score_gemma":0.03975005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956027,"about_ca_topic_score_gemma":0.9976125,"domain_scores_codex":[0.9971992,0.0004269602,0.00008822182,0.000193637,0.0004236129,0.001668359],"domain_scores_gemma":[0.9911605,0.001474851,0.0008309955,0.0003696823,0.003320605,0.002843424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005589406,0.0003161917,0.9161099,0.0000851756,0.0001378158,0.0006471806,0.005005679,0.003800313,0.0006603637,0.00649059,0.02287998,0.04330776],"study_design_scores_gemma":[0.00002963569,0.00004199215,0.982164,0.0001111323,0.00005483607,0.00005036809,0.008248162,0.001988173,0.0002299746,0.0004619198,0.006586932,0.00003280175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804265,0.000331509,0.0001117415,0.002142262,0.00001534785,0.00003662691,0.002223354,0.00004096433,0.0146717],"genre_scores_gemma":[0.9894379,0.0003071674,0.0001020193,0.0002761385,0.000004030475,0.0000313975,0.001013877,0.00001634645,0.008811087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0548568,"threshold_uncertainty_score":0.3980158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009888592022328231,"score_gpt":0.2536268094199211,"score_spread":0.2437382173975929,"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."}}