{"id":"W2911614921","doi":"10.1080/08920753.2019.1564958","title":"Marine Social Science for the Peopled Seas","year":2019,"lang":"en","type":"article","venue":"Coastal Management","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Marine spatial planning; Sustainability; Subsistence agriculture; Livelihood; Mandate; Marine conservation; Sustainability science; Environmental resource management; Indigenous; Environmental planning; Political science; Social sustainability; Fishery; Geography; Ecology; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004861559,0.0001476725,0.0001094031,0.00004566206,0.0004309298,0.0001150978,0.0006847208,0.00001453584,0.003037335],"category_scores_gemma":[0.000008710804,0.0001055813,0.00008749586,0.0004456317,0.0002664338,0.0001871246,0.01116327,0.00006002025,0.001008186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107897,"about_ca_system_score_gemma":0.00000626665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001861861,"about_ca_topic_score_gemma":0.0002522417,"domain_scores_codex":[0.9984376,0.00001058194,0.0001504595,0.0004283564,0.00053231,0.0004406449],"domain_scores_gemma":[0.9994737,0.0000348826,0.00005621431,0.0003619578,0.00001196778,0.00006127136],"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":[0.00009434926,0.0001403595,0.009904237,0.00008537098,0.00005062089,0.000005263712,0.0002001182,0.0003668793,0.0004804404,0.07172035,0.02242463,0.8945274],"study_design_scores_gemma":[0.001129607,0.0001282633,0.3455824,0.000005284227,0.00007437472,0.000001594081,0.000872781,0.003788213,0.00009717591,0.008404408,0.6395962,0.0003197911],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03532816,0.000004035871,0.005203516,0.002446048,0.000594649,0.002106402,0.000007841591,0.00008473833,0.9542246],"genre_scores_gemma":[0.9300331,0.00001207981,0.0007480331,0.0006485861,0.0000627028,0.0001637616,0.000008301743,0.00001460787,0.06830878],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.894705,"threshold_uncertainty_score":0.9997696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246153932234256,"score_gpt":0.2099805413898819,"score_spread":0.2047343874576476,"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."}}