{"id":"W4416992957","doi":"10.1038/s44304-026-00204-9","title":"Storylines of summer streamflow droughts in western Canadian watersheds: historical attribution and future projections","year":2025,"lang":"en","type":"article","venue":"npj natural hazards.","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Streamflow; Climate change; Counterfactual thinking; Snow; Snowmelt; Climate model; Global warming; Mediterranean climate","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001279072,0.0001091679,0.0001878823,0.0001684687,0.0001137595,0.000007383029,0.0001032385,0.0001638253,0.0001276778],"category_scores_gemma":[0.0000136247,0.00008908032,0.00005168113,0.0004787899,0.00009797265,0.000155211,0.00004260561,0.0002216333,0.0000167585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000761641,"about_ca_system_score_gemma":0.00004923616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1370636,"about_ca_topic_score_gemma":0.5843207,"domain_scores_codex":[0.9991818,0.00005871693,0.0001809918,0.00024252,0.0001118638,0.0002241031],"domain_scores_gemma":[0.9997286,0.00001834728,0.00003563106,0.0001349677,0.00001286404,0.00006965442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000368266,0.00006043052,0.9728097,0.00001489923,0.00003593911,0.0000156527,0.0004937802,0.0001101797,0.0005078876,0.0001625255,0.006789657,0.01896255],"study_design_scores_gemma":[0.0005546911,0.00004568425,0.6308684,0.00002002617,0.00007786012,0.000007093586,0.00009534868,0.002176954,0.0007720897,0.0003183623,0.364845,0.0002184773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922659,0.0007944629,0.000028923,0.004751047,0.0004908373,0.0001276959,0.00001128421,0.00001534237,0.001514527],"genre_scores_gemma":[0.9960819,0.0000656091,0.0001056704,0.0002280193,0.00006926667,0.000008513204,0.00002407583,0.00000353737,0.00341339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447257,"threshold_uncertainty_score":0.8686827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006124892876630204,"score_gpt":0.2308189647624508,"score_spread":0.2246940718858206,"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."}}