{"id":"W1996665826","doi":"10.1177/0269094214553174","title":"Complementary currencies: History, theory, prospects","year":2014,"lang":"en","type":"article","venue":"Local Economy The Journal of the Local Economy Policy Unit","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Scope (computer science); Anticipation (artificial intelligence); Livelihood; Economics; Neoclassical economics; Economic system; Keynesian economics; Public economics; Macroeconomics; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002225219,0.0005015422,0.0008194962,0.002831435,0.002667795,0.004998768,0.0009321634,0.001838631,0.006111982],"category_scores_gemma":[0.00639771,0.0003501512,0.0005053657,0.003704114,0.0116811,0.01198199,0.002308011,0.003902224,0.0007664019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003484737,"about_ca_system_score_gemma":0.002045221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326147,"about_ca_topic_score_gemma":0.001507929,"domain_scores_codex":[0.9991676,0.000415103,0.00003821747,0.0001170597,0.0001696132,0.00009249913],"domain_scores_gemma":[0.9974635,0.001720826,0.0002109703,0.0001976392,0.0002631582,0.0001439158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003249907,0.000003424944,0.00004229812,0.0000146271,9.675648e-7,0.00001688318,0.00009616322,0.00010657,0.000008444069,0.9964098,0.0004257661,0.002871782],"study_design_scores_gemma":[0.000006904909,0.0000118673,0.0001235413,0.0001265231,0.000003771304,0.000110849,0.0002530211,0.0007415368,0.00006475847,0.9474494,0.05109892,0.00000898343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.06776169,0.1156894,0.05902432,0.03409754,0.001883902,0.0001020378,0.000229782,0.00006740363,0.721144],"genre_scores_gemma":[0.8652188,0.08273423,0.0165299,0.002507587,0.002297807,0.000175138,0.0001378618,0.00007339697,0.03032525],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006111982,"threshold_uncertainty_score":0.02528369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019257547675258,"score_gpt":0.2315086175116162,"score_spread":0.2013160420348636,"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."}}