{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098197,0.0006872277,0.0008575819,0.003669283,0.001516468,0.003760768,0.002055426,0.001494289,0.01772144],"category_scores_gemma":[0.01069793,0.0005140518,0.001100361,0.00892738,0.0005277281,0.001265691,0.001593117,0.00224564,0.005506461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02114218,"about_ca_system_score_gemma":0.04394947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851703,"about_ca_topic_score_gemma":0.9914863,"domain_scores_codex":[0.9989331,0.00009673923,0.00007933728,0.0001570586,0.0003803693,0.0003533913],"domain_scores_gemma":[0.9939658,0.0006559279,0.0004759061,0.0004080878,0.003834294,0.0006600524],"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":[0.00007981103,0.00002916067,0.01670471,0.000219578,0.0000531011,0.00003497632,0.00009067567,0.001168585,0.00002404188,0.002357108,0.9753405,0.003897752],"study_design_scores_gemma":[0.0002627035,0.00001767324,0.1443764,0.0008581791,0.0001099986,0.00006774371,0.001055946,0.006374217,0.0003378338,0.002676386,0.8437713,0.00009160062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003733365,0.0003239187,0.00009411714,0.0009900508,0.00003666626,0.00002098856,0.9925217,0.0001072385,0.002171952],"genre_scores_gemma":[0.01870695,0.0005392529,0.0006600593,0.0002837764,0.0000281037,0.0001097991,0.973169,0.00006422721,0.00643875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02114218,"threshold_uncertainty_score":0.153398,"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."}}