{"id":"W2068124761","doi":"10.1002/bref.104","title":"Environmental insurance: a financing facilitator","year":2004,"lang":"en","type":"article","venue":"Briefings in Real Estate Finance","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facilitator; Real estate; Business; Finance; Order (exchange); Point (geometry); Actuarial science; Liability","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001913559,0.0002155914,0.0001814527,0.00004082435,0.000123101,0.0000229074,0.0002392025,0.00006227296,0.0002826214],"category_scores_gemma":[0.00001954126,0.000237786,0.00005496551,0.0002280596,0.0002685569,0.0003874977,0.0002421928,0.0001728934,0.0008327008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006588387,"about_ca_system_score_gemma":0.00001240371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008116011,"about_ca_topic_score_gemma":0.001138286,"domain_scores_codex":[0.9983581,0.00002518644,0.0003478668,0.0005126228,0.0003217781,0.0004344299],"domain_scores_gemma":[0.9995155,0.0000218502,0.0001093089,0.0002889433,9.738947e-7,0.00006343793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001799295,0.001024141,0.4844872,0.00006856305,0.00001597214,0.0005409686,0.007287798,0.09514764,0.01881391,0.002129107,0.004728958,0.3855758],"study_design_scores_gemma":[0.001042114,0.00006555342,0.8553112,0.00003559967,0.000002321435,0.000009133314,0.0001042837,0.00009710973,0.0009473601,0.0006863341,0.1414107,0.0002882735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822632,0.0000209008,0.0002900828,0.001241071,0.00006682442,0.0003113002,0.00002643464,0.00005366741,0.01572653],"genre_scores_gemma":[0.9907394,0.002988424,0.003115001,0.002185578,0.000008429714,0.00007657173,0.00001285952,0.00002213763,0.00085162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3852875,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008459119694474153,"score_gpt":0.2074463500430598,"score_spread":0.1989872303485857,"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."}}