{"id":"W4312129487","doi":"10.1016/j.jenvman.2022.116994","title":"On the architecture of collaboration in inter-organizational natural resource management networks","year":2022,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fulbright Canada; Social Sciences and Humanities Research Council of Canada; McGill University; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Operationalization; Conceptualization; Natural resource management; Knowledge management; Collaborative governance; Scholarship; Conceptual framework; Resource (disambiguation); Corporate governance; Natural resource; Computer science; Sociology; Business; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00150244,0.0002562189,0.0005634091,0.0005390308,0.0002511806,0.00006515718,0.0008210689,0.00007799171,0.002813747],"category_scores_gemma":[0.00002055164,0.0001860179,0.0002997787,0.0006777567,0.0001675212,0.0000840374,0.0004237331,0.0005843026,0.0000158591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192317,"about_ca_system_score_gemma":0.00002641666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006227125,"about_ca_topic_score_gemma":0.00003257611,"domain_scores_codex":[0.9966817,0.0008252675,0.0009110558,0.0002431504,0.001098319,0.0002404462],"domain_scores_gemma":[0.9984472,0.0001854115,0.001022584,0.0002775539,0.000007482076,0.00005975749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004478234,0.0004112613,0.000007267502,0.0006713499,0.0004415828,0.00008660901,0.001691465,0.002613546,8.059247e-8,0.04764505,0.01062125,0.9357657],"study_design_scores_gemma":[0.000252296,0.00008259124,0.00008411872,0.0009949893,0.0002850915,0.00000303329,0.0085721,0.000009235409,3.103727e-8,0.0005197608,0.9890392,0.0001575847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001069325,0.9134607,0.0009163407,0.001787231,0.001661432,0.003602277,0.00003175058,0.00002018204,0.07841314],"genre_scores_gemma":[0.002395666,0.9921991,0.0002268293,0.000336176,0.0001559074,0.00004949975,0.00003844887,0.00003108808,0.004567336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9784179,"threshold_uncertainty_score":0.9980978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259655296824976,"score_gpt":0.2865521660081273,"score_spread":0.2739556130398775,"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."}}