{"id":"W2053504413","doi":"10.1115/ipc2010-31358","title":"The SWAT Approach for Pipeline Watercourse Crossings","year":2010,"lang":"en","type":"article","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Pipeline (software); Documentation; Schedule; Work (physics); Transport engineering; Civil engineering; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580676,0.0009901437,0.0006253833,0.006541019,0.001443948,0.002421495,0.001513957,0.0007358708,0.01646071],"category_scores_gemma":[0.004052615,0.0006646288,0.001067036,0.005498607,0.0005210874,0.002092356,0.003286561,0.0008814092,0.005996443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008553752,"about_ca_system_score_gemma":0.00219981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017961,"about_ca_topic_score_gemma":0.04030661,"domain_scores_codex":[0.9980301,0.0004707459,0.0001304497,0.0005063962,0.0007075408,0.0001548323],"domain_scores_gemma":[0.9981437,0.0003111371,0.0002954396,0.0003341661,0.0007104065,0.0002051719],"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":[0.0003820648,0.0003010254,0.04634317,0.0004722259,0.0002236241,0.001052685,0.004992074,0.04333968,0.01495686,0.02060337,0.03969486,0.8276384],"study_design_scores_gemma":[0.0001291251,0.0006578687,0.07687456,0.0004682417,0.0002029469,0.002035244,0.01458097,0.3157102,0.01254951,0.03327318,0.5431791,0.0003390734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06537382,0.0002310956,0.8699971,0.0002841115,0.0002658687,0.001447529,0.007340537,0.009389338,0.04567058],"genre_scores_gemma":[0.1343138,0.0001895937,0.8458762,0.000101175,0.00005174811,0.0009598248,0.005749585,0.0012103,0.0115478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.017961,"threshold_uncertainty_score":0.05506659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0074338018262293,"score_gpt":0.2244972891718124,"score_spread":0.2170634873455831,"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."}}