{"id":"W2115460175","doi":"10.1139/f10-095","title":"Environmental drivers of fish functional diversity and composition in the Lower Colorado River Basin","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Kansas Department of Wildlife and Parks","keywords":"Habitat; Watershed; Ecology; Structural basin; Drainage basin; Niche; Geography; Land use; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003032956,0.0001067638,0.0001973583,0.0008104556,0.0008784274,0.0005449168,0.0002322147,0.0002425104,0.0006252236],"category_scores_gemma":[0.0009557473,0.0001339765,0.0001095672,0.0007439927,0.0005621044,0.0002702778,0.0006000801,0.0001982417,0.00003742928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691209,"about_ca_system_score_gemma":0.0009561304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.371101,"about_ca_topic_score_gemma":0.6188489,"domain_scores_codex":[0.9998024,0.00004268581,0.000009502056,0.00005692948,0.00003521101,0.00005334669],"domain_scores_gemma":[0.9995505,0.00007495502,0.0001338192,0.00001821334,0.0001217866,0.0001007426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002883901,0.00001654256,0.9936655,0.00001120064,0.00002654209,0.00003752527,0.0006928105,0.0003730001,0.001846092,0.0001086192,0.0001167579,0.003076674],"study_design_scores_gemma":[9.65373e-7,0.000004411317,0.9990408,0.000003888702,0.000003740952,0.00001364373,0.000431236,0.0003091168,0.00003545125,0.00003107325,0.0001239652,0.000001715918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999666,0.00003929357,0.00003162257,0.00003270182,3.720528e-7,0.000001559473,0.00004471234,0.000001044489,0.0001826468],"genre_scores_gemma":[0.9997316,0.00004129587,0.00005470579,0.00001087792,0.000001181458,0.000004199824,0.00006823963,0.000001049294,0.00008680169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.371101,"threshold_uncertainty_score":0.737882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009857003939876985,"score_gpt":0.1682271928490106,"score_spread":0.1583701889091336,"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."}}