{"id":"W2002226810","doi":"10.1139/f04-014","title":"Macroinvertebrate response to logging in coastal headwater streams of Washington, U.S.A.","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Council for Air and Stream Improvement","keywords":"Logging; STREAMS; Environmental science; Slash (logging); Hydrology (agriculture); Sediment; Biomass (ecology); Watershed; Benthic zone; Ecology; Geology; Oceanography; Forestry; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007989317,0.00008137942,0.000173694,0.0001747594,0.0001759438,0.0000719565,0.0002799597,0.00003446879,0.0005428453],"category_scores_gemma":[0.0001135558,0.00006691637,0.00002830263,0.0002959086,0.0008751421,0.0004232436,0.00004981573,0.00008056079,0.00002181851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009842825,"about_ca_system_score_gemma":0.0002576156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05246918,"about_ca_topic_score_gemma":0.4116799,"domain_scores_codex":[0.9990897,0.00005663708,0.0002553967,0.0001341406,0.0001578321,0.0003063334],"domain_scores_gemma":[0.9994665,0.0000434936,0.00009260729,0.00005940209,0.000006964413,0.0003310556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001653144,0.00002663965,0.9713073,0.00001182558,0.000009683076,0.0003027779,0.01124317,0.004144872,0.007042549,0.0001000807,0.00237216,0.00327358],"study_design_scores_gemma":[0.005077092,0.007336953,0.8598179,0.0006029563,0.00005701065,0.0008494387,0.03466275,0.005201373,0.03771967,0.03001494,0.01742767,0.001232238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933136,0.00002536568,0.000052527,0.005889885,0.0001377815,0.00005200731,0.00000519859,0.000001385415,0.0005222936],"genre_scores_gemma":[0.998122,0.000005087264,0.00104707,0.0007293134,0.000007752667,3.690197e-7,3.042612e-7,0.000002830298,0.00008526313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3592107,"threshold_uncertainty_score":0.9538405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257439786987113,"score_gpt":0.1973085879608872,"score_spread":0.1847341900910161,"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."}}