{"id":"W2140128724","doi":"10.1002/rra.2666","title":"HYDRAULIC GEOMETRY AND LONGITUDINAL PATTERNS OF HABITAT QUANTITY AND QUALITY FOR RAINBOW TROUT (<i>Oncorhynchus mykiss</i>)","year":2013,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; University of Calgary","funders":"Alberta Innovates; Johnson and Johnson; Alberta Water Research Institute","keywords":"Habitat; Rainbow trout; Watershed; Environmental science; Hydrology (agriculture); Range (aeronautics); Trout; Ecology; Geology; Fishery; Biology; Geotechnical engineering; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004598271,0.00006964151,0.0001272255,0.000051445,0.000405198,0.00002661613,0.0000967294,0.00003722312,0.0001019708],"category_scores_gemma":[0.00005251695,0.00006148499,0.0000155925,0.0001344055,0.0008391293,0.0001549897,0.0003485737,0.00008949334,0.00002621041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001855058,"about_ca_system_score_gemma":0.000003323638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465897,"about_ca_topic_score_gemma":0.002250549,"domain_scores_codex":[0.9991678,0.00004417044,0.0001299954,0.0002835754,0.0001423414,0.0002321148],"domain_scores_gemma":[0.9993692,0.0003169404,0.00003906701,0.0001544263,0.00002902938,0.00009132521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009448059,0.0000821759,0.9876171,0.00007340754,0.00001967305,1.269742e-7,0.0001081069,7.887035e-7,0.0005540208,0.004282087,0.004030031,0.003223078],"study_design_scores_gemma":[0.0003015438,0.0001081674,0.9869485,0.000003799144,0.000007466171,6.334064e-7,0.0002266602,0.00004023822,0.000138408,0.008827874,0.003332328,0.00006439533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993228,0.00009889643,0.003254473,0.001301975,0.000003397344,0.0009901798,0.00003626724,0.00001027734,0.001076599],"genre_scores_gemma":[0.9975145,0.0004533752,0.0006493062,0.00009381568,0.00001527584,0.0006296196,0.000007718502,0.00000413679,0.0006322786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004545786,"threshold_uncertainty_score":0.3116497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609713043902082,"score_gpt":0.3433766060439935,"score_spread":0.2824053016537853,"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."}}