{"id":"W7115798873","doi":"10.4224/40003935","title":"Unlocking private investment in Canadian flood resilient home retrofits: a return on investment research summary","year":2025,"lang":"en","type":"report","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Flooding (psychology); Damages; Investment (military); Government (linguistics); Flood mitigation; Cost–benefit analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009114753,0.0006211222,0.0006900313,0.003938124,0.005537719,0.0105701,0.002295941,0.001402578,0.01232485],"category_scores_gemma":[0.0259764,0.0003661123,0.0007811696,0.006910003,0.003275902,0.003872646,0.002626894,0.002287674,0.0006113464],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1510424,"about_ca_system_score_gemma":0.2846158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973744,"about_ca_topic_score_gemma":0.9869279,"domain_scores_codex":[0.9915286,0.001151815,0.0002025003,0.0003993372,0.004723031,0.001994745],"domain_scores_gemma":[0.9651749,0.008087897,0.001952349,0.0007549674,0.02086752,0.003162425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004361015,0.000681761,0.0771056,0.01227362,0.0004762605,0.0005462927,0.01836367,0.002674913,0.0007747168,0.1690514,0.1155725,0.6020432],"study_design_scores_gemma":[0.000104691,0.0003539022,0.2001609,0.03399082,0.00112745,0.0002635356,0.1146647,0.00360386,0.001586803,0.01202154,0.6318609,0.0002609882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3081295,0.1835328,0.00288991,0.1491739,0.001431774,0.001111103,0.007590678,0.0001415168,0.3459988],"genre_scores_gemma":[0.8080723,0.1579424,0.004759492,0.006498246,0.0002519956,0.0002959255,0.001725296,0.0000639284,0.02039029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1510424,"threshold_uncertainty_score":0.9846705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418271297361682,"score_gpt":0.4054241433442101,"score_spread":0.2635970136080419,"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."}}