{"id":"W2479353618","doi":"","title":"Exploring Resilience of Canadian Rivers to Climate Change","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Climate change; Resilience (materials science); Environmental resource management; Environmental science; Environmental planning; Geography; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005597916,0.00009753454,0.0001131918,0.0001470221,0.0001251887,0.000008121893,0.0002045617,0.00002924939,0.000005449868],"category_scores_gemma":[0.0001543807,0.00009503884,0.0000200218,0.0002879769,0.00008991646,0.0002703173,0.0001970705,0.00006729221,0.0006115148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009155353,"about_ca_system_score_gemma":0.000006114877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.523039,"about_ca_topic_score_gemma":0.5091355,"domain_scores_codex":[0.9989672,0.00002422364,0.0001647459,0.0002293757,0.0001836228,0.0004308259],"domain_scores_gemma":[0.9994499,0.00002890035,0.00006117248,0.0001606145,0.000009182263,0.0002902168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002456206,0.00002733125,0.9505947,0.00001684604,0.00001351443,0.00007418029,0.01105011,0.02986123,0.0004101777,0.00005582824,0.002518459,0.005353063],"study_design_scores_gemma":[0.0001981571,0.0001059011,0.9814537,0.00006923304,0.00001710643,0.000001655817,0.0009704739,0.00007520773,0.00112562,0.0001602266,0.01560674,0.0002159731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760814,0.00001340312,0.000001045391,0.001165511,0.0001689046,0.0001332368,0.00000249497,0.0000257735,0.1224082],"genre_scores_gemma":[0.998457,0.00006594323,0.0008395195,0.0005033842,0.00003209925,0.0000300249,0.000001181812,0.000007261193,0.00006354537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1223757,"threshold_uncertainty_score":0.785999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09467535253323804,"score_gpt":0.2462102855713725,"score_spread":0.1515349330381345,"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."}}