{"id":"W650584102","doi":"","title":"Improving the Ecological Function of the Upper Bow River: Bow Lake to Kananaskis Dam","year":2008,"lang":"en","type":"article","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Geography; Fish migration; Fish <Actinopterygii>; Flood myth; Population; Culvert; Environmental resource management; Fishery; Environmental planning; Business; Environmental science; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000339542,0.0001103537,0.0001204688,0.0004373427,0.002055326,0.001274238,0.0003955403,0.0004077441,0.005471386],"category_scores_gemma":[0.0007277625,0.0001011041,0.0001077437,0.0007044271,0.0005557791,0.0006574036,0.00101475,0.0003489943,0.0003024159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259606,"about_ca_system_score_gemma":0.004557939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2362497,"about_ca_topic_score_gemma":0.6500509,"domain_scores_codex":[0.9998331,0.00002674361,0.000005049827,0.00001938864,0.00005581299,0.00005991476],"domain_scores_gemma":[0.9998063,0.00002435491,0.00002104074,0.000007283146,0.00006687998,0.0000740969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007230609,0.0005951941,0.477872,0.0004445847,0.00008092513,0.00570014,0.04501166,0.004277999,0.01634905,0.0195874,0.0525802,0.3767777],"study_design_scores_gemma":[0.0000272404,0.0005375794,0.8191361,0.000152794,0.00008105104,0.0009687116,0.05387114,0.00271479,0.002896308,0.002224833,0.1173173,0.00007217345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664582,0.0002660758,0.0005752771,0.001620853,0.00005000738,0.00004456274,0.0002377393,0.0000560814,0.03069108],"genre_scores_gemma":[0.9727676,0.0003397655,0.002140103,0.0002317964,0.00001687385,0.00002496178,0.0002093529,0.00001187319,0.02425767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7637503,"threshold_uncertainty_score":0.4697492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009681601220414768,"score_gpt":0.1878335686340913,"score_spread":0.1781519674136766,"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."}}