{"id":"W1826695102","doi":"10.1111/conl.12090","title":"A Social Relational Network Perspective for MPA Science","year":2014,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo","keywords":"Perspective (graphical); Social network (sociolinguistics); Corporate governance; Social network analysis; Social capital; Frontier; Knowledge management; Sociology; Business; Computer science; Political science; Social science; Social media","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":[0.0003471153,0.00005880384,0.00006769577,0.00001638454,0.0005832672,0.00002159914,0.00009165552,0.00001410188,0.00007685737],"category_scores_gemma":[0.0001369548,0.00005534001,0.00002666455,0.0002246168,0.0002675496,0.0001972526,0.00009157704,0.00003513111,0.00007001204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800453,"about_ca_system_score_gemma":0.00001027203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000153686,"about_ca_topic_score_gemma":0.000103345,"domain_scores_codex":[0.9993541,0.00001738048,0.00009764757,0.0001935994,0.0001654419,0.0001718673],"domain_scores_gemma":[0.9997373,0.00008805218,0.00005873206,0.00005985936,0.00003073431,0.00002528055],"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":[0.00003752856,0.00002317259,0.3654623,0.000008166429,0.00001467774,2.889223e-7,0.001177967,0.0007371199,0.01306655,0.218311,0.3994311,0.001730046],"study_design_scores_gemma":[0.0002927142,0.0000301246,0.8672339,0.000004351191,0.000008868411,0.000001112067,0.00008722043,0.006432909,0.00003871727,0.009606831,0.1161265,0.000136704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500583,0.000005339706,0.03157047,0.1029083,0.000352584,0.0003475587,0.000002467207,0.00006093121,0.01469405],"genre_scores_gemma":[0.9895117,2.805624e-7,0.002417638,0.007274442,0.0003012723,0.00005019893,0.000003190216,0.000004470355,0.000436786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5017716,"threshold_uncertainty_score":0.4486079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139356785157386,"score_gpt":0.2451458907106338,"score_spread":0.22375232285906,"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."}}