{"id":"W1504035569","doi":"10.4000/vertigo.11287","title":"Lessons for climate change adaptation from better management of rivers","year":2011,"lang":"en","type":"article","venue":"VertigO","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change adaptation; Climate change; Adaptation (eye); Political science; Geography; Humanities; Forestry; Art; Geology; Psychology; Oceanography","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":[0.002945345,0.0002375542,0.0002357444,0.0003662406,0.0008777233,0.003498967,0.0008036298,0.002013941,0.008844713],"category_scores_gemma":[0.004956463,0.000135202,0.0004086891,0.0008209121,0.002326758,0.003584612,0.001759656,0.002185849,0.000571127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970579,"about_ca_system_score_gemma":0.004022045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109267,"about_ca_topic_score_gemma":0.01982031,"domain_scores_codex":[0.9986533,0.0007659761,0.00004986724,0.0001117402,0.0001688123,0.0002503066],"domain_scores_gemma":[0.9985084,0.000695632,0.0001111743,0.0001701829,0.0002604949,0.0002541479],"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":[0.0002080291,0.0003042711,0.01596913,0.0009696151,0.0001080256,0.0008205041,0.008698882,0.01081363,0.00183677,0.3323811,0.1897681,0.4381219],"study_design_scores_gemma":[0.00004599595,0.0001149646,0.04286471,0.0006821962,0.0000328445,0.000170774,0.01615528,0.001400007,0.0009766979,0.2225358,0.7149571,0.00006359529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06884257,0.04297433,0.01053249,0.7190847,0.003404925,0.00005204639,0.0004615764,0.000182191,0.1544652],"genre_scores_gemma":[0.8635936,0.05501798,0.008087453,0.0368467,0.002050749,0.0001016607,0.0002803729,0.00012128,0.03390023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0109267,"threshold_uncertainty_score":0.02958846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158672356129601,"score_gpt":0.2416050274441729,"score_spread":0.1800183038828769,"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."}}