{"id":"W2529336724","doi":"10.1111/conl.12312","title":"Looking Beyond the Fenceline: Assessing Protection Gaps for the World's Rivers","year":2016,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Convention on Biological Diversity; Upstream (networking); Marine protected area; Biodiversity; Geography; Drainage basin; Hydrography; Environmental science; Environmental resource management; Marine biodiversity; Environmental protection; Ecology; Habitat; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003723809,0.00006425539,0.00004512961,0.00001784034,0.0007231631,0.00003459793,0.0001456858,0.00001566756,0.000241339],"category_scores_gemma":[0.00009772746,0.00003115958,0.00002927066,0.0001325675,0.0003098772,0.0002781466,0.00007805024,0.00004603554,0.00005981926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007472759,"about_ca_system_score_gemma":0.000003038536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004295467,"about_ca_topic_score_gemma":0.0008318282,"domain_scores_codex":[0.9994846,0.00004030002,0.00009862085,0.0001436687,0.00009441181,0.0001384134],"domain_scores_gemma":[0.9993957,0.0003726877,0.00008411882,0.0001309711,0.000007405056,0.000009165106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002112389,0.00001242353,0.1893373,0.000007864982,0.00004247329,8.423186e-7,0.0002036082,0.0003359185,0.02561365,0.0006408514,0.768603,0.01518098],"study_design_scores_gemma":[0.0004023695,0.00001354603,0.6987522,0.00001629529,0.00004231625,8.212497e-7,0.0001530754,0.000898521,0.001015102,0.001099592,0.297491,0.0001151787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.242645,0.000008027016,0.1042762,0.6499569,0.0004717244,0.0008001045,0.000001394587,0.00004809286,0.001792469],"genre_scores_gemma":[0.9097317,0.00001584332,0.001011945,0.08533841,0.0001112384,0.0003853332,0.000001560643,0.000009156983,0.003394742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6670868,"threshold_uncertainty_score":0.5562059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814167334218025,"score_gpt":0.2351496534010688,"score_spread":0.2170079800588886,"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."}}