{"id":"W7016061163","doi":"","title":"Upgrading Canada's infrastructure to cope with extreme weather events","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extreme weather; Storm; Climate change; Adaptation (eye); Climate change adaptation; Training (meteorology)","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":[0.0004109733,0.0005107759,0.0001727714,0.001023211,0.005537129,0.002836866,0.00109187,0.001602936,0.07628273],"category_scores_gemma":[0.001593773,0.0003090061,0.0003794065,0.001494837,0.0008401293,0.001217274,0.001954906,0.001125517,0.009357578],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01700142,"about_ca_system_score_gemma":0.06421665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987491,"about_ca_topic_score_gemma":0.9963912,"domain_scores_codex":[0.9991975,0.00003672671,0.000009708479,0.00002775348,0.0002994162,0.0004287516],"domain_scores_gemma":[0.9984778,0.00004843125,0.00002790504,0.0000780468,0.0007202461,0.0006477207],"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":[0.00003100565,0.00003106615,0.00390221,0.0001398152,0.000008943468,0.0002169248,0.0004627561,0.0007634501,0.0009602031,0.002401015,0.9192817,0.07180086],"study_design_scores_gemma":[0.00001738449,0.00002103975,0.01885143,0.0001036621,0.00001144013,0.00004658947,0.001454145,0.000509366,0.0003734651,0.00046442,0.9781172,0.00002988379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02708242,0.00255303,0.002697805,0.04667361,0.001406464,0.0003771189,0.01339275,0.003320489,0.9024963],"genre_scores_gemma":[0.1653172,0.004689541,0.005669494,0.008760924,0.0001998118,0.000152218,0.008291822,0.0007185512,0.8062004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9829986,"threshold_uncertainty_score":0.2551912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005129283645317684,"score_gpt":0.1704249792090259,"score_spread":0.1652956955637083,"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."}}