{"id":"W4251116224","doi":"10.1002/hyp.5143","title":"Conference Listing","year":2003,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listing (finance); Prospectus; Library science; Tourism; Download; Geography; Operations research; Political science; Engineering; Business; Computer science; Archaeology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001296704,0.001077199,0.001104999,0.00236445,0.001550955,0.005332825,0.002016007,0.001619296,0.8770456],"category_scores_gemma":[0.004480713,0.0004285492,0.0009782452,0.002698149,0.0002440843,0.002436242,0.002272657,0.001907912,0.7701022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253311,"about_ca_system_score_gemma":0.003351081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447569,"about_ca_topic_score_gemma":0.00529237,"domain_scores_codex":[0.9992933,0.00009172163,0.00005865136,0.0001218742,0.0003281409,0.0001062739],"domain_scores_gemma":[0.9969426,0.0002586937,0.0000847331,0.0002485587,0.001329918,0.001135511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002814086,0.00001726514,0.00004834511,0.0001255534,0.000002057179,0.00002326008,0.000009771732,0.00005555373,0.00006703367,0.0008096522,0.9724449,0.02636855],"study_design_scores_gemma":[0.000009959541,0.00001074901,0.0001564869,0.0000719075,0.000001642971,0.00002978592,0.00002020768,0.00005046617,0.00003966083,0.0004090423,0.999196,0.000004037407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005669915,0.003430248,0.003238571,0.006035887,0.01933849,0.0008284711,0.04037143,0.00536868,0.9208212],"genre_scores_gemma":[0.002172157,0.002571,0.002225585,0.002102123,0.002527719,0.0004853748,0.03081061,0.001836813,0.9552686],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1229544,"threshold_uncertainty_score":0.1753794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3055230863036374,"score_gpt":0.3970952306965996,"score_spread":0.09157214439296213,"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."}}