{"id":"W2766134783","doi":"10.1163/9789004322714_cclc_2017-0136-001","title":"The Pathway to a Green Finance Road Map Disclosure, Risk and Opportunities to Scale Up Green Finance in Canada","year":2018,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Finance; Business; Project finance; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006137195,0.0004036495,0.0006902977,0.0003022923,0.0009848076,0.0001704807,0.0003038643,0.0002323995,0.00003096275],"category_scores_gemma":[0.00003616522,0.0003952134,0.00005851982,0.0004929175,0.0001279083,0.0002536832,0.0003112915,0.0003100138,0.00003805347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934968,"about_ca_system_score_gemma":0.0002049744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413828,"about_ca_topic_score_gemma":0.9890887,"domain_scores_codex":[0.9976845,0.00004761699,0.0006414501,0.0007841511,0.00009002959,0.0007522996],"domain_scores_gemma":[0.9987165,0.00007076407,0.0004298839,0.0005666325,0.00008285426,0.0001334188],"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":[0.0001481451,0.00002935266,0.003787967,0.0002819663,0.00002140487,0.0000443134,0.0007311183,0.000002394186,7.937399e-8,0.00246645,0.9829262,0.009560543],"study_design_scores_gemma":[0.0003894391,0.0002859484,0.01517422,0.000179663,0.0000132377,0.000007873024,0.0003829042,0.0001002345,0.000002452969,0.001359141,0.9815944,0.0005104779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04753515,0.007500128,0.000003689618,0.002384754,0.001407488,0.001237663,0.9391871,0.00001681754,0.0007272072],"genre_scores_gemma":[0.04259085,0.4067343,0.0001439121,0.01661986,0.005063613,0.00860352,0.4289605,0.0004187121,0.09086465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5102265,"threshold_uncertainty_score":0.99985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04838810931520084,"score_gpt":0.2197563172688982,"score_spread":0.1713682079536974,"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."}}