{"id":"W2541570499","doi":"10.1109/epc.2007.4520312","title":"Smaller Hydro, Higher Risk","year":2007,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hydroelectricity; Documentation; Hydropower; Risk analysis (engineering); Computer science; Engineering management; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008563346,0.00004153961,0.00003871974,0.00002442426,0.00001336366,0.00001021413,0.00002736092,0.00003335682,0.0003393649],"category_scores_gemma":[8.303251e-7,0.00003340351,0.00001361405,0.00004469846,0.000002301991,0.00004098764,0.000004295534,0.00003202008,0.0001819341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001159337,"about_ca_system_score_gemma":5.358747e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005131038,"about_ca_topic_score_gemma":0.000148638,"domain_scores_codex":[0.9997419,0.000002504181,0.00007880563,0.00004218543,0.00003893612,0.00009574251],"domain_scores_gemma":[0.9998837,0.000005576815,0.000005582885,0.00007095583,0.000007177583,0.00002698733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007608759,0.00002612958,0.02221689,0.00005996125,0.0001049037,0.00001956979,0.0005803993,0.752475,0.0008974274,0.005481278,0.209562,0.008568882],"study_design_scores_gemma":[0.0006180431,0.00002687374,0.08743161,0.0000162373,0.00001684549,0.000004924617,0.00004135224,0.1603516,0.01453674,0.0002293171,0.7362643,0.000462132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07232774,0.00009071874,0.2985774,0.00001364885,0.0008452008,0.00005706738,6.814789e-7,0.0004616274,0.6276259],"genre_scores_gemma":[0.9782001,0.000007038232,0.002253285,0.00001515032,0.0001314633,9.712636e-7,0.000001667112,0.00001198991,0.01937828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9058724,"threshold_uncertainty_score":0.3715808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006268255689055079,"score_gpt":0.171720386019442,"score_spread":0.1654521303303869,"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."}}