{"id":"W7014870574","doi":"","title":"RSA on Track for 2013 Targets After Weathering Canada Floods","year":2013,"lang":"en","type":"other","venue":"The New York Times","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Weathering; Track (disk drive); Erosion; Hydrology (agriculture); Climate change","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":[0.0009513393,0.0006663288,0.0003169136,0.001435152,0.001427949,0.003004418,0.0008288015,0.001451826,0.2266972],"category_scores_gemma":[0.003368215,0.000266214,0.0003305571,0.001430577,0.0002576873,0.001256296,0.001346364,0.001669129,0.1488243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760262,"about_ca_system_score_gemma":0.009435728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2833899,"about_ca_topic_score_gemma":0.4717755,"domain_scores_codex":[0.9994034,0.00002562791,0.00001258824,0.00004050504,0.0004024105,0.0001154023],"domain_scores_gemma":[0.9979298,0.00008404948,0.0001007996,0.0001416519,0.001284693,0.0004590052],"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":[0.000025086,0.00001435813,0.0004260887,0.00001176907,0.000001267389,0.000009946286,0.00002385804,0.00009652485,0.00006834721,0.001028667,0.9758958,0.02239825],"study_design_scores_gemma":[0.00001803818,0.00001664075,0.005176185,0.00005620249,0.000003077377,0.0000109443,0.00009259961,0.0004903471,0.0002875942,0.0008172449,0.9930228,0.000008344136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002868927,0.0006144073,0.00139103,0.006216294,0.002569149,0.0002278287,0.05229101,0.002384498,0.9314368],"genre_scores_gemma":[0.01054514,0.0006489893,0.001145289,0.0005625071,0.0004527982,0.0001512523,0.02463602,0.001189492,0.9606684],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.7166101,"threshold_uncertainty_score":0.7583778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00620333054960704,"score_gpt":0.1983534027194222,"score_spread":0.1921500721698151,"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."}}