{"id":"W2137549515","doi":"10.1093/icesjms/fsn182","title":"Human dimensions of Marine Protected Areas","year":2008,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Saint Mary's University","funders":"","keywords":"Marine protected area; Corporate governance; Marine spatial planning; Environmental resource management; Business; Submarine pipeline; Relation (database); Geography; Oceanography; Environmental science; Ecology; Geology; Computer science; Habitat","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007050892,0.0001282502,0.0002816026,0.0001406011,0.000427147,0.00001540472,0.0006241803,0.00002194749,0.000925986],"category_scores_gemma":[0.0001913718,0.00008159383,0.00008615982,0.000795726,0.0009337583,0.0005168428,0.00215827,0.0001707255,0.00003038692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009253182,"about_ca_system_score_gemma":0.00005609622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044066,"about_ca_topic_score_gemma":0.0003287717,"domain_scores_codex":[0.9981818,0.00003394947,0.0005096053,0.000200865,0.0007995383,0.0002742597],"domain_scores_gemma":[0.9989027,0.00003492961,0.0005480645,0.0002191505,0.0001362215,0.0001589495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004013234,0.0002614784,0.9027218,0.00002317789,0.00002130098,0.00009829396,0.0003615608,0.0001771713,0.0777529,0.00009848879,0.001461852,0.01698182],"study_design_scores_gemma":[0.0003591324,0.0004011424,0.9902426,0.00002819576,0.00001530246,0.0004620999,0.00005643188,0.0001046977,0.003895439,0.0008252971,0.003477996,0.0001316636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774684,0.00001517615,0.00001310256,0.0002257232,0.0001943463,0.000129662,8.875889e-7,0.00001139578,0.02194128],"genre_scores_gemma":[0.9960403,0.0000570932,0.001993732,0.00002831069,0.00005861715,0.000002716467,2.740252e-7,0.000005483461,0.001813407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08752079,"threshold_uncertainty_score":0.9999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179846537754111,"score_gpt":0.2402620815618776,"score_spread":0.2222774277864665,"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."}}