{"id":"W6944090837","doi":"10.17882/59232","title":"Marine Protected Area Effectiveness","year":2019,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Marine protected area; Corporate governance; Marine reserve; Biodiversity; Marine conservation; Biomass (ecology); Biodiversity conservation; Marine spatial planning; Marine biodiversity","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006302073,0.0006529095,0.0008094248,0.0004054814,0.00007379094,0.00008673307,0.0008699188,0.0005862344,0.003327767],"category_scores_gemma":[0.0004525055,0.0006004404,0.0001849577,0.0006214534,0.00008961073,0.0001043611,0.0007408698,0.001027108,0.1134176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105357,"about_ca_system_score_gemma":0.0004007028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025895,"about_ca_topic_score_gemma":0.0004389006,"domain_scores_codex":[0.9969541,0.0006022942,0.0002873383,0.0008816264,0.000661267,0.0006134122],"domain_scores_gemma":[0.9970415,0.0002502559,0.0003066758,0.00205322,0.0002045942,0.0001438036],"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":[0.0003557551,0.0001591711,0.0001745515,0.001325879,0.000211375,0.0001042018,0.000002101459,0.00001358299,0.0005928504,0.000002713583,0.9968753,0.0001824571],"study_design_scores_gemma":[0.001036649,0.0001594244,0.006730222,0.0003772342,0.000172366,0.00002623948,0.000001473013,0.00001515397,0.0004228485,0.00005842695,0.9903029,0.0006970319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009104988,0.00003572977,0.000003601951,0.000006682067,0.0007895899,0.003238727,0.994032,0.0002585309,0.0007246929],"genre_scores_gemma":[0.00004694469,0.000009935166,0.00005589141,0.00003215133,0.0002584873,0.0003034908,0.9983006,0.0001993323,0.0007932015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1100898,"threshold_uncertainty_score":0.9996447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152451040311969,"score_gpt":0.2741263581277006,"score_spread":0.2526018477245809,"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."}}