{"id":"W4250244355","doi":"10.2139/ssrn.3693941","title":"Decarbonizing Everything: Climate Data, Industry Returns, and Portfolio Construction","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"TD Bank Group","funders":"","keywords":"Portfolio; Business; Economics; Actuarial science; Financial economics","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":[0.004270184,0.0004122673,0.0005073255,0.001588636,0.0002717742,0.003463527,0.0006160371,0.001031569,0.003192873],"category_scores_gemma":[0.03765148,0.0002379298,0.0003570835,0.004196167,0.0005060505,0.003736306,0.001189406,0.001795672,0.0004746706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000804089,"about_ca_system_score_gemma":0.0007693542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006612176,"about_ca_topic_score_gemma":0.005957281,"domain_scores_codex":[0.9988346,0.0005727143,0.00009076364,0.0002009154,0.0001756448,0.0001254505],"domain_scores_gemma":[0.9830808,0.009380259,0.00398007,0.0018669,0.001062479,0.0006294951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005172085,0.0002367851,0.7015583,0.0000966745,0.0004514676,0.0002246449,0.000226172,0.1077788,0.0004867199,0.04613121,0.01013922,0.1321529],"study_design_scores_gemma":[0.00004129148,0.0002073903,0.3705882,0.0001495216,0.0002049457,0.0002297379,0.0006888851,0.3790544,0.002114416,0.2320351,0.01459689,0.00008908998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486686,0.003980444,0.025002,0.007595074,0.0001925098,0.00003365463,0.003198001,0.0001917631,0.01113793],"genre_scores_gemma":[0.994609,0.001031273,0.001864487,0.00009681981,0.00009833137,0.000005272721,0.001344252,0.00002849319,0.0009221293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006612176,"threshold_uncertainty_score":0.02258313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0931962727655821,"score_gpt":0.253435862680731,"score_spread":0.1602395899151489,"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."}}