{"id":"W4400304308","doi":"10.1111/jors.12718","title":"Assessing the environmental performance of green mortgage‐backed securities","year":2024,"lang":"en","type":"article","venue":"Journal of Regional Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Bond; Loan; Transparency (behavior); Efficient energy use; Incentive; Business; Asset (computer security); Real estate; Finance; Economics; Microeconomics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823557,0.00006889449,0.0001740519,0.0002062912,0.000161143,0.0001901893,0.0004137228,0.00002616959,0.00008814364],"category_scores_gemma":[0.00002608554,0.00005293849,0.0001060058,0.000221459,0.0006052508,0.001280097,0.00005579329,0.0001690745,0.00002377641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281624,"about_ca_system_score_gemma":0.0001059182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002053286,"about_ca_topic_score_gemma":0.000001481306,"domain_scores_codex":[0.9991201,0.000008003177,0.0004763513,0.0001313939,0.0001012727,0.0001628518],"domain_scores_gemma":[0.9993839,0.00008029195,0.0003514307,0.0001149597,0.00001729834,0.0000521128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001056727,0.0003053327,0.7329375,0.0004345564,0.0002479804,0.0001122679,0.01262025,0.002220098,0.006197438,0.1507055,0.005510438,0.08860297],"study_design_scores_gemma":[0.0005966325,0.0004392839,0.7078443,0.0005663448,0.00003528874,0.001198498,0.002341974,0.1244011,0.001450759,0.03366966,0.1268472,0.0006089886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907209,0.001829679,0.0001117283,0.0009102669,0.0005027901,0.00002774326,0.00000439782,0.000003905343,0.005888628],"genre_scores_gemma":[0.9979169,0.001294088,0.0003356392,0.00008233001,0.0001871963,4.832506e-7,3.082265e-7,0.000006532805,0.000176573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122181,"threshold_uncertainty_score":0.2230072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228307836704735,"score_gpt":0.2501610323028885,"score_spread":0.2078779539358411,"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."}}