{"id":"W1966518123","doi":"10.3384/ecp110571472","title":"On the Large Scale Assessment of Small Hydroelectric Potential: Application to the Province of New Brunswick (Canada)","year":2011,"lang":"en","type":"article","venue":"Linköping electronic conference proceedings","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; U.S. Department of Energy","keywords":"Hydroelectricity; Scale (ratio); Computer science; Environmental science; Engineering; Geography; Electrical engineering; Cartography","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":[0.0005054529,0.0001470921,0.000171369,0.00003538921,0.0002008761,0.00001117755,0.000629132,0.00004589009,0.0001256025],"category_scores_gemma":[0.00003137585,0.00009345759,0.00003931152,0.0003236305,0.00009192334,0.00006040045,0.000240225,0.0002552533,0.00001287493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455897,"about_ca_system_score_gemma":0.0004857177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03052604,"about_ca_topic_score_gemma":0.1240605,"domain_scores_codex":[0.9986599,0.0000180326,0.0002472424,0.0003138816,0.0002933431,0.0004675877],"domain_scores_gemma":[0.9994854,0.0000307742,0.0002071826,0.0001964547,0.00003187643,0.00004826253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003812288,0.0008580406,0.1741161,0.0002293612,0.0004403354,0.000002836741,0.01181418,0.001998,0.02140227,0.7397326,0.0252582,0.02376682],"study_design_scores_gemma":[0.001859282,0.003832233,0.6435145,0.0002594971,0.0004975445,0.00001202667,0.002307119,0.1599678,0.06988356,0.0813228,0.03506947,0.00147425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927828,0.00003160712,0.04266938,0.007027641,0.00004500077,0.001153574,0.000001153561,0.00003719911,0.02120649],"genre_scores_gemma":[0.998005,0.00003314919,0.0002718795,0.0007300018,0.0000177066,0.00003727608,0.000001026842,0.000009668694,0.0008942298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6584098,"threshold_uncertainty_score":0.9759297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025048884412606,"score_gpt":0.2080853834419439,"score_spread":0.1978348945978178,"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."}}