{"id":"W2602605819","doi":"","title":"Towards the Application of a River Management Approach Encompassing most Natural Process Drivers : Lessons Learned from Freedom Space for Rivers in Quebec (Canada)","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Natural (archaeology); Space (punctuation); Process (computing); Environmental planning; River management; Geography; Environmental resource management; Political science; Environmental science; Computer science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004960676,0.0001728981,0.0001927719,0.00004606343,0.0001283015,0.00004090206,0.0005124004,0.00004386471,0.000003475837],"category_scores_gemma":[0.00003195403,0.0001378952,0.00004201399,0.0002962596,0.0001656826,0.0002201871,0.0002985153,0.0001272692,0.000004920591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006083557,"about_ca_system_score_gemma":0.00007929454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8761024,"about_ca_topic_score_gemma":0.902186,"domain_scores_codex":[0.9983478,0.00006792272,0.0002393536,0.0004115052,0.0006214571,0.0003120177],"domain_scores_gemma":[0.9993455,0.000050255,0.0002169018,0.0002828969,0.00002715652,0.00007732336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002709385,0.0005236821,0.2091608,0.0002361487,0.0002805067,0.00001237813,0.0184274,0.5246762,0.001332755,0.004543737,0.04718702,0.1933484],"study_design_scores_gemma":[0.004571856,0.00007145862,0.1930173,0.0001634924,0.0002715387,5.489709e-7,0.05376388,0.6893117,0.0006355902,0.003937094,0.05330279,0.0009526485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8902742,0.0001854917,0.04496077,0.007050786,0.000461057,0.002231086,0.00002690021,0.00008050448,0.05472919],"genre_scores_gemma":[0.9725491,0.00001200881,0.02646067,0.00007112236,0.00003732635,0.0001302125,0.000039281,0.00001590682,0.0006844107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1923958,"threshold_uncertainty_score":0.5623204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729546354930656,"score_gpt":0.2676297270670223,"score_spread":0.2403342635177157,"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."}}