{"id":"W6903634035","doi":"10.11575/prism/28745","title":"Membership and Incentives in Network Alliances","year":2006,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta; University of Calgary; Ohio State University","keywords":"Incentive; Commission; Alliance; Investment (military); Outcome (game theory); European commission; Network structure; Network analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003571524,0.0004785488,0.000706551,0.0009233477,0.001800494,0.004241007,0.001425927,0.003295071,0.009526498],"category_scores_gemma":[0.0116056,0.0004777637,0.0005729088,0.001310396,0.003632364,0.007678286,0.002750546,0.001904899,0.0009801007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002560559,"about_ca_system_score_gemma":0.001762136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002423261,"about_ca_topic_score_gemma":0.002228677,"domain_scores_codex":[0.9973487,0.00147587,0.00008848481,0.0002922042,0.0004029277,0.0003918948],"domain_scores_gemma":[0.9951797,0.002181989,0.0009808721,0.000507654,0.0003542602,0.0007955701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000272982,0.00002629321,0.0004411375,0.00001772391,0.000004414053,0.0000669724,0.0001859412,0.03358603,0.0001748716,0.9610727,0.0005846671,0.003811844],"study_design_scores_gemma":[0.00006259434,0.00005056509,0.0004615216,0.00003434357,0.00001046207,0.0001068293,0.0002402252,0.09825303,0.0001641786,0.8873809,0.01321694,0.00001835375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2738463,0.001043376,0.4796225,0.008160785,0.0001448841,0.000318762,0.000323896,0.0002259068,0.2363134],"genre_scores_gemma":[0.9524772,0.0006136867,0.02132298,0.0001837287,0.00007885099,0.0002666808,0.00008618216,0.00002579906,0.02494492],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009526498,"threshold_uncertainty_score":0.03186929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084315691865448,"score_gpt":0.1959768939342129,"score_spread":0.1851337370155584,"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."}}