{"id":"W6977172356","doi":"10.6084/m9.figshare.c.4951938","title":"Human Dimensions of Large Marine Protected Areas","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine protected area; Outreach; Corporate governance; Human Dimension; Commonwealth; Marine spatial planning; Function (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574383,0.0001461724,0.0001784745,0.002103099,0.00324597,0.003228761,0.000504687,0.0004208267,0.008285398],"category_scores_gemma":[0.004348611,0.0001198854,0.0001662733,0.002191626,0.006530965,0.001830275,0.004039367,0.0006858926,0.0002345223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002485793,"about_ca_system_score_gemma":0.001463151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02609544,"about_ca_topic_score_gemma":0.05193138,"domain_scores_codex":[0.9975035,0.001557664,0.00006365162,0.0002256405,0.0003884521,0.0002611163],"domain_scores_gemma":[0.996488,0.001246525,0.0007218706,0.0002788516,0.0003568162,0.000907885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001412417,0.0002214616,0.3964028,0.0004029585,0.0001653338,0.0009769556,0.2688932,0.003390051,0.0008934385,0.1129756,0.01867759,0.1968593],"study_design_scores_gemma":[0.00001008669,0.0001322573,0.5470394,0.0003611191,0.00001599156,0.0004175802,0.2921893,0.001207663,0.0001732387,0.0318852,0.1265141,0.00005407744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8400288,0.00129724,0.003826395,0.00619237,0.0000951104,0.0001254921,0.0005576084,0.00002972716,0.1478473],"genre_scores_gemma":[0.9970307,0.0002681664,0.0007835957,0.0001509474,0.00001804555,0.00004286629,0.00006670792,0.000004221192,0.001634712],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02609544,"threshold_uncertainty_score":0.05188709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568289000029842,"score_gpt":0.2899350384570914,"score_spread":0.244252148456793,"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."}}