{"id":"W2047249867","doi":"10.3354/cr00787","title":"Transfer of climate knowledge via a regional climate-change management body to support vulnerability, impact assessments and adaptation measures","year":2009,"lang":"en","type":"article","venue":"Climate Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Climate change; Vulnerability (computing); Geography; Adaptation (eye); Vulnerability assessment; Government (linguistics); Environmental resource management; Knowledge transfer; Social vulnerability; Political science; Environmental science; Computer science; Psychological resilience; Ecology; Psychology","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":[0.01546444,0.000480351,0.000560927,0.005843342,0.004308287,0.005409516,0.002650305,0.001694799,0.01834615],"category_scores_gemma":[0.01783634,0.0003719029,0.0007053884,0.005172285,0.001825102,0.003249965,0.005979749,0.001924317,0.003985392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01708077,"about_ca_system_score_gemma":0.05692977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5025352,"about_ca_topic_score_gemma":0.5675477,"domain_scores_codex":[0.9951085,0.001644206,0.0002849376,0.0007179037,0.001687541,0.000556787],"domain_scores_gemma":[0.9749736,0.004727022,0.001301367,0.007757099,0.008960059,0.002280829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001316568,0.0005925682,0.02637239,0.0003756025,0.0001895002,0.0005077135,0.009308205,0.0217054,0.005197261,0.05232098,0.07194183,0.8113568],"study_design_scores_gemma":[0.00009248828,0.000166216,0.03240648,0.0006449089,0.0001430428,0.0002140302,0.004548167,0.03860424,0.004095408,0.02576446,0.8931335,0.00018696],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07430507,0.002020307,0.3474054,0.03591125,0.0006019928,0.002539088,0.00532145,0.005954017,0.5259414],"genre_scores_gemma":[0.5684896,0.002234671,0.3294594,0.004750139,0.0005352386,0.001283589,0.007285755,0.001082828,0.08487871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5025352,"threshold_uncertainty_score":0.9992202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2242928682003653,"score_gpt":0.4470843144100211,"score_spread":0.2227914462096557,"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."}}