{"id":"W2112755957","doi":"10.1002/rra.2770","title":"Risk‐based Approach to Designing and Reviewing Pipeline Stream Crossings to Minimize Impacts to Aquatic Habitats and Species","year":2014,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; National Oceanic and Atmospheric Administration; Canadian Association of Petroleum Producers","keywords":"Habitat; Pipeline (software); STREAMS; Environmental science; Perennial stream; Range (aeronautics); Pipeline transport; Wildlife; Computer science; Environmental resource management; Ecology; Engineering; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.1016205,0.0023965,0.001864991,0.0292621,0.005126578,0.01366677,0.008025064,0.00293765,0.008050788],"category_scores_gemma":[0.2466738,0.001949284,0.002286721,0.009385716,0.003532984,0.007795809,0.005829038,0.003712119,0.00414488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01215639,"about_ca_system_score_gemma":0.04039507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092652,"about_ca_topic_score_gemma":0.03279625,"domain_scores_codex":[0.8916394,0.05288703,0.01711237,0.006070567,0.03065575,0.001634879],"domain_scores_gemma":[0.621509,0.1077062,0.03463742,0.01740577,0.2090172,0.009724459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004189267,0.001072584,0.0165493,0.005026856,0.00056617,0.002678839,0.03783696,0.0308101,0.01640057,0.03203918,0.14481,0.7117904],"study_design_scores_gemma":[0.0003221626,0.00135872,0.01674656,0.005546375,0.0009740254,0.002723767,0.04941333,0.1250826,0.02372299,0.08398657,0.6891509,0.0009719941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03167675,0.001632304,0.889484,0.01645788,0.001471377,0.01848892,0.002383034,0.006919671,0.0314861],"genre_scores_gemma":[0.04834471,0.0005781528,0.9400817,0.0005298989,0.0002628154,0.003244817,0.0008649075,0.0004249539,0.005668025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1016205,"threshold_uncertainty_score":0.5374269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091230998868707,"score_gpt":0.3311940373825071,"score_spread":0.2702817273938201,"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."}}