{"id":"W4226106451","doi":"10.1007/978-981-16-9933-7_2","title":"Environmental Planning of River Corridors Considering Climate Change: A Brief Perspective","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Downstream (manufacturing); Environmental science; Climate change; Environmental resource management; Sediment; Habitat; Hydrology (agriculture); Resource (disambiguation); Water resource management; Environmental planning; Ecology; Geology; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001429554,0.0003985936,0.0004448481,0.0001572689,0.0000801651,0.000005968883,0.0002271182,0.0002802833,0.008845686],"category_scores_gemma":[0.00002780634,0.0004517122,0.0001145842,0.00006690956,0.0002057426,0.0001439496,0.0002113076,0.0008445441,0.0000218825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830109,"about_ca_system_score_gemma":0.000009417893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001127034,"about_ca_topic_score_gemma":0.0001841203,"domain_scores_codex":[0.9984227,0.00001021008,0.0003236351,0.0005212617,0.0003259524,0.0003962689],"domain_scores_gemma":[0.9993985,0.000168417,0.0001399392,0.0002253002,0.000002548896,0.00006533181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006535705,0.0000462559,0.02011971,0.00015854,0.00009290053,0.0004353912,0.008286362,0.9666328,0.001319673,0.001134431,0.000009808805,0.001698739],"study_design_scores_gemma":[0.01546981,0.004475495,0.1476246,0.009436614,0.002860314,0.001853204,0.0008441945,0.1846677,0.02671435,0.06294926,0.5198579,0.02324652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2976649,0.0414786,0.03705698,0.001047591,0.00458239,0.005632657,0.0015055,0.001323755,0.6097077],"genre_scores_gemma":[0.9986033,0.0003885131,0.0004895195,0.0001546669,0.00007467611,0.00003826915,0.00003514321,0.00007894454,0.0001369245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7819651,"threshold_uncertainty_score":0.9997935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128937120753893,"score_gpt":0.2040058153682224,"score_spread":0.1927164441606835,"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."}}