{"id":"W4321210373","doi":"10.1007/978-3-031-23811-6_11","title":"Water Risk in Real Estate: An Introduction to the Climanomics Platform","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Real estate; Business; Climate change; Business risks; Risk management; Volatility (finance); Asset (computer security); Environmental planning; Finance; Environmental resource management; Natural resource economics; Risk analysis (engineering); Environmental science; Economics; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004652727,0.0009319934,0.0004302465,0.001401514,0.0006965638,0.003250805,0.000721162,0.001740316,0.03140297],"category_scores_gemma":[0.0008586331,0.0003813124,0.0004505423,0.002233208,0.0009560829,0.003341624,0.00144713,0.001983158,0.006014923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524561,"about_ca_system_score_gemma":0.001140383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0061813,"about_ca_topic_score_gemma":0.01548188,"domain_scores_codex":[0.9998057,0.00004622275,0.00001251702,0.00002505272,0.00009557185,0.0000148684],"domain_scores_gemma":[0.9997053,0.0001702111,0.00001549215,0.00001509994,0.00006275241,0.00003105104],"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":[0.000007464492,0.00006000008,0.0002418031,0.0003690649,0.000008545679,0.0002295404,0.0005464883,0.004553578,0.0003807124,0.2179182,0.5570576,0.2186271],"study_design_scores_gemma":[0.000001499307,0.00001255338,0.0003796271,0.0003221846,0.000002084695,0.000139405,0.0001837337,0.0009885784,0.00005301288,0.04656922,0.9513371,0.00001111614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002152021,0.2227469,0.03206484,0.02153044,0.007608776,0.0001152351,0.0006447484,0.0004788784,0.7126582],"genre_scores_gemma":[0.02837425,0.2328482,0.02090199,0.00592051,0.007519504,0.0001931991,0.0005756983,0.0007172434,0.7029493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03140297,"threshold_uncertainty_score":0.1050534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690662978597822,"score_gpt":0.2362749457729314,"score_spread":0.2193683159869532,"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."}}