{"id":"W7093636072","doi":"","title":"9781317451198.pdf","year":2022,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Defense Advanced Research Projects Agency; Universidad Nacional de Quilmes; Financiadora de Estudos e Projetos; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Department of Science and Technology, Ministry of Science and Technology, India; University of Westminster; European Commission; International Development Research Centre; United Nations Development Programme","keywords":"Grassroots; Context (archaeology); Sustainability; Variety (cybernetics); Social movement; Social justice; Economic Justice; Discipline","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007216221,0.00032874,0.0005954173,0.000351204,0.0005257068,0.0003190294,0.0009919399,0.0001118929,0.9974566],"category_scores_gemma":[0.00007265162,0.0003266859,0.0002391694,0.0003138313,0.0002238864,0.0001823079,0.0005437086,0.0002857863,0.9964187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681107,"about_ca_system_score_gemma":0.00004522267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007433016,"about_ca_topic_score_gemma":0.00009224015,"domain_scores_codex":[0.9980643,0.0000301317,0.0005858809,0.0008209337,0.00008931309,0.0004093941],"domain_scores_gemma":[0.9981267,0.00006746509,0.0008082748,0.0009088364,0.0000150201,0.00007370207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006367182,0.00007241448,0.0008336888,0.00002539364,0.0003751241,0.0000040576,0.0002132851,0.00001192877,1.826092e-7,0.06035279,0.6279244,0.3101803],"study_design_scores_gemma":[0.000323536,0.00001723129,0.0002661639,0.000009650447,0.00002604548,0.000003513255,0.0002514257,0.00005184143,3.064798e-7,0.004434207,0.9942101,0.0004059302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007675338,0.000034484,0.00007420022,0.0008213104,0.005829047,0.0004864976,8.855188e-7,0.0001206895,0.9926252],"genre_scores_gemma":[0.0001388747,0.0003378953,0.0002397197,0.0007119372,0.0006415271,0.0001691343,0.0003821962,0.0002555261,0.9971232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3662857,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286114085229303,"score_gpt":0.2100040994853907,"score_spread":0.1771429586330977,"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."}}