{"id":"W425933793","doi":"","title":"Bridging Jurisdictional Divides: Collective Action Through a Joint Strategic Plan for Management of Great Lakes Fisheries","year":2007,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Goddard Space Flight Center","keywords":"Bridging (networking); Action plan; Fishery; Business; Collective action; Plan (archaeology); Fisheries management; Political science; Management; Geography; Computer science; Fishing; Economics; Computer security; Biology; Politics; Law","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":[0.02105375,0.0004362874,0.0002595905,0.001507132,0.01747974,0.008611443,0.001658186,0.002835959,0.003547119],"category_scores_gemma":[0.01903703,0.0005049192,0.0005022513,0.001040815,0.0192492,0.008721421,0.0139613,0.003396912,0.000363687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01579878,"about_ca_system_score_gemma":0.04833658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06581806,"about_ca_topic_score_gemma":0.1726426,"domain_scores_codex":[0.9798708,0.01447612,0.0004842253,0.0008998605,0.002001543,0.002267493],"domain_scores_gemma":[0.987598,0.005681111,0.001445279,0.0009902248,0.001272717,0.003012701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004857923,0.0001584423,0.01244275,0.0001415811,0.00003363368,0.0007136562,0.6930819,0.001150342,0.001441469,0.1990145,0.0127933,0.07897981],"study_design_scores_gemma":[0.00004763304,0.0001388427,0.01811478,0.0004756205,0.00004467508,0.0001313545,0.6946052,0.003152462,0.0006042265,0.1048073,0.1778007,0.0000772104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5792753,0.0008895706,0.05111883,0.07332294,0.00035566,0.001365546,0.00005840267,0.0001949059,0.293419],"genre_scores_gemma":[0.9768425,0.0001927677,0.01285233,0.001010707,0.00002211397,0.0003450176,0.0000386678,0.00002072199,0.008675106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9341819,"threshold_uncertainty_score":0.1308699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05481148238955141,"score_gpt":0.2518605590199441,"score_spread":0.1970490766303927,"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."}}