{"id":"W2912494397","doi":"10.1177/1086026619831516","title":"Financial Markets and the Transition to a Low-Carbon Economy: Challenging the Dominant Logics","year":2019,"lang":"en","type":"article","venue":"Organization & Environment","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Low-carbon economy; Financial market; Economics; Predictability; Transition (genetics); Climate change; Transition economy; Financial economics; Economy; Business; Finance; Market economy","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":[0.005741058,0.0002734311,0.0003755316,0.001096433,0.002983872,0.00985904,0.001031499,0.002874845,0.00164305],"category_scores_gemma":[0.006984022,0.0001912793,0.00040647,0.0007484554,0.02376808,0.01290885,0.004195688,0.005437369,0.0001104215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008020412,"about_ca_system_score_gemma":0.00401851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004064285,"about_ca_topic_score_gemma":0.003085551,"domain_scores_codex":[0.9979483,0.0009218723,0.00007031413,0.0002227068,0.0004322735,0.0004044998],"domain_scores_gemma":[0.9946996,0.002923201,0.000722836,0.0002826909,0.0005859848,0.0007856329],"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":[0.000008429486,0.00001060951,0.000344966,0.00001284199,0.000002792754,0.00004120259,0.0004064413,0.00050963,0.00004822237,0.9962613,0.0003623255,0.001991327],"study_design_scores_gemma":[0.000009021855,0.000008232201,0.0003879155,0.00003211246,0.000002527768,0.00002055527,0.0008414336,0.002006449,0.00009365535,0.9920774,0.004512068,0.000008436251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3914652,0.01003959,0.09561645,0.3104812,0.0007517491,0.00008302939,0.000108787,0.0001153386,0.1913387],"genre_scores_gemma":[0.994015,0.0007122199,0.002571722,0.001604224,0.000137844,0.00002187229,0.000006868088,0.000009686702,0.0009205724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00985904,"threshold_uncertainty_score":0.05819249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259264254410355,"score_gpt":0.1612829965558802,"score_spread":0.1486903540117767,"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."}}