{"id":"W2539425444","doi":"10.1016/j.ocecoaman.2016.09.005","title":"Using the DPSIR framework for transdisciplinary training and knowledge elicitation in the Gulf of Thailand","year":2016,"lang":"en","type":"article","venue":"Ocean & Coastal Management","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Socio-Environmental Synthesis Center","keywords":"DPSIR; Environmental resource management; Boundary (topology); Training (meteorology); Expert elicitation; Environmental planning; Geography; Environmental science; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02077875,0.0005772752,0.0004792364,0.002983455,0.002772497,0.004431991,0.002012634,0.001735405,0.00397961],"category_scores_gemma":[0.02855262,0.0004161814,0.0004383639,0.003356682,0.001568246,0.004485716,0.008067023,0.001619138,0.0006413715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004425001,"about_ca_system_score_gemma":0.01240554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204448,"about_ca_topic_score_gemma":0.02599644,"domain_scores_codex":[0.9789327,0.01646462,0.001194544,0.0008944017,0.001600485,0.0009132007],"domain_scores_gemma":[0.9497018,0.04008149,0.001693789,0.002103637,0.004932088,0.00148711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006924567,0.001841184,0.04158486,0.00378441,0.0001145214,0.001934989,0.3019583,0.01886336,0.01286168,0.03470283,0.005413886,0.5762475],"study_design_scores_gemma":[0.0001900745,0.0007452383,0.02817176,0.003087368,0.0001370926,0.0008502395,0.7299581,0.07703815,0.02255673,0.06234842,0.0746678,0.000248969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6822792,0.0005690894,0.2530341,0.004558404,0.00006333852,0.002796225,0.001468824,0.0002977669,0.05493304],"genre_scores_gemma":[0.846653,0.0003167534,0.1463286,0.0002963889,0.00001117447,0.002239608,0.0008305523,0.00002299279,0.003301008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077875,"threshold_uncertainty_score":0.1098898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189607402030343,"score_gpt":0.2882410420781761,"score_spread":0.2463449680578726,"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."}}