{"id":"W2171740720","doi":"","title":"Hydrological Extremes in a Southwestern Ontario River Basin under Future Climate Conditions","year":2005,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Drainage basin; Environmental science; Climate change; Flood myth; Structural basin; Climatology; Climate model; Water resources; Hydrology (agriculture); Geography; Water resource management; Geology; Cartography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001390726,0.0002512445,0.0003060032,0.000112537,0.001072325,0.0001001192,0.0006207454,0.0001921346,0.01523841],"category_scores_gemma":[0.0000243264,0.0001596738,0.0001340913,0.0003590402,0.00191896,0.0006245289,0.0004894497,0.0006809665,0.001150465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882233,"about_ca_system_score_gemma":0.00001800453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005551136,"about_ca_topic_score_gemma":0.01823263,"domain_scores_codex":[0.9973071,0.0002506847,0.0004357383,0.0005557416,0.0004965473,0.0009541531],"domain_scores_gemma":[0.9994082,0.00009071748,0.000151612,0.0001403322,0.000006524263,0.0002025476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005372886,0.0002674328,0.9481931,9.401347e-7,0.00001543706,0.0001491321,0.0009626164,0.04695163,0.0001206721,0.0008496242,0.001345208,0.001090493],"study_design_scores_gemma":[0.0007060037,0.0004339599,0.9535118,0.000007733995,0.00002347572,0.0002208449,0.0001801218,0.00225612,0.00001040842,0.01520813,0.02715782,0.0002836354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648198,0.00006203198,0.0001291426,0.01350688,0.000221566,0.0001418127,0.000002621815,0.00004559374,0.02107056],"genre_scores_gemma":[0.9925274,0.0001323943,0.001007158,0.005562596,0.0002283265,0.00001414589,0.00000214647,0.000004960689,0.000520877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04469551,"threshold_uncertainty_score":0.9996821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500034758853721,"score_gpt":0.2514437002162204,"score_spread":0.2264433526276832,"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."}}