{"id":"W2009102256","doi":"10.1890/es13-00269.1","title":"Linking resource availability and habitat structure to stream organisms: an experimental and observational assessment","year":2014,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Northwest Fisheries Science Center; California Department of Fish and Wildlife; National Oceanic and Atmospheric Administration; Washington Department of Fish and Wildlife","keywords":"Oncorhynchus; Biomass (ecology); Predation; Juvenile; Invertebrate; Biology; Ecology; Habitat; Environmental science; Productivity; Fishery; Fish <Actinopterygii>","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001722634,0.0001129444,0.0001106591,0.000005492605,0.0002892058,0.00003730173,0.00009344443,0.00004928578,0.003285989],"category_scores_gemma":[0.00002442916,0.000104769,0.000008961531,0.00005398549,0.0001187819,0.0001893146,0.0003736219,0.00007896296,0.00004676112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007104409,"about_ca_system_score_gemma":0.000003034463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002624064,"about_ca_topic_score_gemma":0.002175662,"domain_scores_codex":[0.9991997,0.00005447349,0.0001120816,0.0003529261,0.0001211515,0.0001596671],"domain_scores_gemma":[0.9996713,0.00004984164,0.00003446182,0.000155848,0.000004130541,0.00008443085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001098809,0.0000623098,0.9611095,0.000009588829,0.00001048557,9.752015e-7,0.0006115362,0.0001319046,0.001843233,0.0006029141,0.03357016,0.002036446],"study_design_scores_gemma":[0.0002017584,0.000234653,0.9799092,0.000004260129,0.000007169398,0.000001293593,0.0006336918,0.0004455377,0.0003197532,0.001289896,0.01682524,0.0001274862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796558,0.00001485649,0.0001553138,0.000807178,0.00004787088,0.000183304,0.000005325795,0.00003256365,0.01909778],"genre_scores_gemma":[0.9879866,0.000001957894,0.009676726,0.001786236,0.0000338421,0.00001257037,0.00001255896,0.000008429381,0.0004811381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0187998,"threshold_uncertainty_score":0.9976252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109459324818962,"score_gpt":0.2415462253336899,"score_spread":0.2304516320855003,"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."}}