{"id":"W4401594002","doi":"10.3992/jgb.19.3.139","title":"INCENTIVIZING LANDLORD ENGAGEMENT IN A CLEAN ENERGY TRANSITION IN NOVA SCOTIA, CANADA: A CASE STUDY OF ENERGIZE BRIDGEWATER","year":2024,"lang":"en","type":"article","venue":"Journal of Green Building","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Landlord; Nova (rocket); Clean energy; Engineering; Political science; Architectural engineering; Aeronautics; Geography; Archaeology; Environmental engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485298,0.0001144529,0.0004341537,0.0007885347,0.00002710187,0.00005463459,0.0001217524,0.00004470999,0.00004139632],"category_scores_gemma":[0.00001944899,0.0001272445,0.0000744769,0.0003267003,0.00001162977,0.0003031553,0.0000354986,0.0002430652,9.282915e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005203578,"about_ca_system_score_gemma":0.0001077764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8505164,"about_ca_topic_score_gemma":0.9296719,"domain_scores_codex":[0.9984229,0.00004817886,0.001082534,0.0001846572,0.00005031502,0.0002114829],"domain_scores_gemma":[0.9994621,0.00007493646,0.0002933479,0.00009958578,0.00002085324,0.00004922095],"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":[0.0004073934,0.001296448,0.7754334,0.000498927,0.0005888655,0.02724628,0.02884555,0.04177849,0.000566866,0.004020386,0.0007218832,0.1185955],"study_design_scores_gemma":[0.03837969,0.004918045,0.3616659,0.007518735,0.0004792544,0.01179784,0.07685711,0.4353979,0.006159334,0.01428536,0.03698331,0.0055575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974492,0.0003809483,0.0009642266,0.0002265214,0.000536349,0.00006510063,0.000008116986,0.000003589701,0.0003659036],"genre_scores_gemma":[0.9995182,0.00007471637,0.0001868079,0.00005139205,0.0001332924,9.817411e-7,7.339262e-7,0.00001988137,0.00001399961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137675,"threshold_uncertainty_score":0.5188882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442038707393752,"score_gpt":0.2334007891985714,"score_spread":0.1989804021246339,"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."}}