{"id":"W4327813878","doi":"10.1177/23996544231162858","title":"Conjuring a cooler world? Imaginaries of Improvement in Blockchain Climate Finance Experiments","year":2023,"lang":"en","type":"article","venue":"Environment and Planning C Politics and Space","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Duisburg-Essen; Centre for Global Cooperation Research; University of Warwick","keywords":"Vision; Blockchain; Climate Finance; Corporate governance; Climate change; Stakeholder; Scale (ratio); Political science; Business; Finance; Economics; Geography; Sociology; Computer science; Economic growth; Developing country; Law; Computer security","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.032276,0.0004828992,0.0005038341,0.0007902319,0.003866764,0.009059056,0.001542472,0.003013906,0.004899546],"category_scores_gemma":[0.04211175,0.0003366155,0.0003879329,0.0009789211,0.01433852,0.01717547,0.007075005,0.005305032,0.0005711719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00414077,"about_ca_system_score_gemma":0.003301613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318505,"about_ca_topic_score_gemma":0.001721923,"domain_scores_codex":[0.9815948,0.01471536,0.000258746,0.0006856024,0.001725705,0.001019733],"domain_scores_gemma":[0.9786966,0.01493293,0.0009098495,0.002643342,0.001421716,0.001395538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005774043,0.0004639302,0.00234955,0.0002761735,0.00004717513,0.00026233,0.02004883,0.01024731,0.002965,0.9113623,0.008797769,0.04260218],"study_design_scores_gemma":[0.000212057,0.0005642361,0.00131381,0.0003270888,0.00002555883,0.0001083623,0.01525579,0.01018845,0.003879857,0.8756335,0.0924041,0.00008727696],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5354431,0.006142152,0.1030412,0.1723389,0.001087241,0.0005236202,0.0003917083,0.0004675201,0.1805646],"genre_scores_gemma":[0.9760994,0.001457681,0.01589553,0.002095337,0.0001019102,0.000275486,0.00007665728,0.00009239178,0.00390562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9961332,"threshold_uncertainty_score":0.1706939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422633151041289,"score_gpt":0.2285432206466512,"score_spread":0.2143168891362383,"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."}}