{"id":"W2188818975","doi":"","title":"Mill Creek Rangers: A Community Response to Watershed Restoration","year":2004,"lang":"en","type":"article","venue":"","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Mill; STREAMS; Hydrology (agriculture); Downtown; Archaeology; Geography; Stream restoration; Environmental science; Geology","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":[0.001889597,0.0002399079,0.0002812071,0.0006020236,0.005458899,0.001767193,0.0018869,0.001363253,0.005137203],"category_scores_gemma":[0.003715739,0.0001956245,0.0002635678,0.0005982153,0.0009806313,0.0005772262,0.002269092,0.0007793423,0.000311317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007387214,"about_ca_system_score_gemma":0.01021048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1607183,"about_ca_topic_score_gemma":0.6360252,"domain_scores_codex":[0.9983164,0.0004447346,0.00004364408,0.0001932725,0.0005145554,0.0004873343],"domain_scores_gemma":[0.9971597,0.0001588495,0.000230695,0.0001249259,0.0008722478,0.00145356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001962769,0.01100182,0.2966498,0.0004138378,0.0001780623,0.01095568,0.07319132,0.002495441,0.03540513,0.004436983,0.09234598,0.4709633],"study_design_scores_gemma":[0.0005245509,0.00669656,0.6646796,0.0001550901,0.0001330372,0.001161498,0.1376915,0.004349994,0.00365409,0.001707074,0.1791394,0.0001076293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797437,0.0001630448,0.0006568293,0.004775312,0.00009319385,0.000779909,0.0001382878,0.0001619214,0.01348774],"genre_scores_gemma":[0.9760177,0.0001426074,0.002673796,0.002034501,0.00004153085,0.0003254177,0.0002163736,0.00002286888,0.01852525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1607183,"threshold_uncertainty_score":0.3195655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135639039659378,"score_gpt":0.2236737363627801,"score_spread":0.1823173459661863,"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."}}