{"id":"W1570295576","doi":"10.1111/ropr.12108","title":"Interagency Trust and Communication in the Transboundary Governance of <scp>P</scp>acific Salmon Fisheries","year":2015,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada; IBM Center for the Business of Government","keywords":"Civil servants; Collective action; Corporate governance; Commission; Social capital; Business; Fishery; Public administration; Political science; Finance; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007504985,0.0001672392,0.0003171167,0.002530222,0.00142424,0.004396609,0.0006470414,0.001032445,0.003608333],"category_scores_gemma":[0.0154972,0.0001911176,0.000269993,0.003595261,0.003159561,0.003170399,0.001915541,0.0007844327,0.000172087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003884982,"about_ca_system_score_gemma":0.006909049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03583581,"about_ca_topic_score_gemma":0.05600049,"domain_scores_codex":[0.993062,0.004942561,0.0002925264,0.0003735855,0.0008148419,0.0005145698],"domain_scores_gemma":[0.9767995,0.01166516,0.006574352,0.0005637848,0.003204927,0.001192196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002216943,0.0002930476,0.2697662,0.006727774,0.0009034424,0.001365642,0.04903821,0.003285358,0.001121331,0.1566406,0.01566736,0.4949694],"study_design_scores_gemma":[0.00003674607,0.0001984088,0.6311909,0.0140417,0.0004633584,0.000651783,0.1241593,0.002873814,0.0006644446,0.04462613,0.1809663,0.0001270923],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6239734,0.2539235,0.005083232,0.0252663,0.0004925415,0.00008049748,0.0001635977,0.00002519678,0.09099177],"genre_scores_gemma":[0.9627858,0.03509262,0.0005051256,0.0003658825,0.00006494312,0.00002088809,0.0000278432,0.000002794334,0.001134124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03583581,"threshold_uncertainty_score":0.07125443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07717223280108018,"score_gpt":0.3698972442765726,"score_spread":0.2927250114754923,"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."}}