{"id":"W3174262939","doi":"","title":"Basic Income Simulations for the Province of British Columbia","year":2020,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Government (linguistics); Poverty reduction; Work (physics); Variety (cybernetics); Basic needs; Economics; Public economics; Inequality; Economic inequality; Economic growth; Statistics; Mathematics; Engineering","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":[0.0009059263,0.0005792147,0.0005950863,0.0009747224,0.002468177,0.001638271,0.00226114,0.0009235585,0.01558068],"category_scores_gemma":[0.004035464,0.0004192097,0.0006142576,0.002545017,0.000763452,0.0005955475,0.001110449,0.00123069,0.001045963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03094851,"about_ca_system_score_gemma":0.02589107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842457,"about_ca_topic_score_gemma":0.9866425,"domain_scores_codex":[0.9994156,0.0001653724,0.00001467685,0.00004775924,0.0001404745,0.0002160733],"domain_scores_gemma":[0.9979615,0.0005045059,0.00005120918,0.0001146538,0.001107081,0.0002610663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002909751,0.0002069337,0.01467127,0.000139412,0.00006611369,0.0002260667,0.0003358379,0.8672054,0.0002609795,0.02487192,0.07569634,0.01602871],"study_design_scores_gemma":[0.000369828,0.00008274618,0.01401944,0.0001411252,0.00005725755,0.00004637384,0.001841884,0.894362,0.0004227803,0.01087475,0.07767529,0.0001065278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5699737,0.0009589472,0.01134767,0.005901424,0.0002377721,0.0005467542,0.05536175,0.001133716,0.3545384],"genre_scores_gemma":[0.9215137,0.0007586951,0.01198192,0.0004988016,0.00001754707,0.0004166628,0.01860733,0.0002655469,0.04593988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094851,"threshold_uncertainty_score":0.2245482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976803444966087,"score_gpt":0.2331048291181151,"score_spread":0.2133367946684543,"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."}}