{"id":"W1811552311","doi":"10.1111/j.1467-2979.2010.00379.x","title":"Operationalizing governability: a case study of a Lake Malawi fishery","year":2010,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Operationalization; Corporate governance; Fishing; Normative; Fishery; Lagging; Environmental resource management; Process (computing); Business; Geography; Environmental planning; Economics; Political science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003272556,0.0002762501,0.0002147221,0.001129199,0.004160442,0.00177565,0.0007194757,0.001099614,0.001335966],"category_scores_gemma":[0.006366372,0.0001601126,0.0002630238,0.001506862,0.003395286,0.001883196,0.002497972,0.0009847315,0.00006096837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004872927,"about_ca_system_score_gemma":0.002306077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1031023,"about_ca_topic_score_gemma":0.2560208,"domain_scores_codex":[0.9982976,0.001105262,0.00008925328,0.00006688842,0.0001715585,0.0002693558],"domain_scores_gemma":[0.9954418,0.003049017,0.000619865,0.0002129496,0.0004072672,0.000269038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002521805,0.0007386248,0.5728878,0.0003037704,0.0000869209,0.03846639,0.2437123,0.01802332,0.00705989,0.05200934,0.001848277,0.06461123],"study_design_scores_gemma":[0.00004923529,0.0005705968,0.4170493,0.0004199352,0.00008275232,0.003170764,0.4814433,0.05004883,0.005048485,0.01304218,0.02896644,0.0001082886],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950825,0.00004590924,0.001815102,0.0004640651,0.000002427415,0.00006137708,0.00002714531,0.000004228597,0.002497316],"genre_scores_gemma":[0.997107,0.00006446468,0.002226396,0.00003608021,0.000002050741,0.00002695185,0.00001895039,0.000001789031,0.0005163131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031023,"threshold_uncertainty_score":0.2050043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457016244084748,"score_gpt":0.2041792723133627,"score_spread":0.1896091098725152,"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."}}