{"id":"W2029462900","doi":"10.2495/sdp-v8-n4-523-536","title":"Environmental assessment method for a small-river restoration plan","year":2013,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Environmental science; Restoration ecology; Water quality; Environmental quality; Plan (archaeology); Environmental resource management; Hydrology (agriculture); Water resource management; Geography; Environmental protection; Ecology; Engineering","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":[0.001822178,0.000789389,0.0003245216,0.004010545,0.0009310032,0.00172187,0.001144204,0.0006529646,0.02567027],"category_scores_gemma":[0.004285436,0.0003152352,0.0006363989,0.002450653,0.0004798838,0.001602947,0.00122557,0.0007779518,0.002925338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368869,"about_ca_system_score_gemma":0.002694747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007650459,"about_ca_topic_score_gemma":0.01209754,"domain_scores_codex":[0.9987319,0.000365308,0.0001046368,0.0001732208,0.0005592596,0.00006564175],"domain_scores_gemma":[0.9985482,0.0004623395,0.0001420134,0.000119922,0.0006604863,0.00006693279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000162751,0.000366382,0.01224425,0.0003882461,0.00007133251,0.0002933283,0.0008193864,0.08377206,0.004964349,0.09371192,0.02434555,0.7788604],"study_design_scores_gemma":[0.0001769972,0.0004202042,0.01804253,0.000393868,0.0001467332,0.0004759872,0.002681502,0.6434867,0.006862172,0.08508602,0.2420156,0.0002117289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01603054,0.0002257581,0.8869748,0.0004129832,0.0001232046,0.002042216,0.001890022,0.002134671,0.09016587],"genre_scores_gemma":[0.1361808,0.0002080954,0.8420528,0.00009140377,0.00002080251,0.002226649,0.001219968,0.0001559758,0.01784353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02567027,"threshold_uncertainty_score":0.08587557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576658854728867,"score_gpt":0.2640841876827952,"score_spread":0.2483175991355066,"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."}}