{"id":"W4309908027","doi":"10.1017/9781009049498","title":"Token Forces","year":2022,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Peacebuilding and International Security","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Security token; Peacekeeping; Incentive; Norm (philosophy); Element (criminal law); Political science; Computer security; Law and economics; Business; Computer science; Public administration; Law; Sociology; Economics; Microeconomics","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":[0.000508232,0.0006474131,0.0002671823,0.001139998,0.002807479,0.005920084,0.0006853819,0.001381948,0.1259686],"category_scores_gemma":[0.001124933,0.0003002475,0.0003169871,0.001299703,0.002249317,0.006036471,0.002560341,0.001898139,0.04841173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902779,"about_ca_system_score_gemma":0.001429426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240376,"about_ca_topic_score_gemma":0.007025451,"domain_scores_codex":[0.9995397,0.00009526801,0.00002042122,0.0000964285,0.0001759259,0.00007229535],"domain_scores_gemma":[0.9997255,0.00008525429,0.00002083476,0.00005147519,0.00005922081,0.00005760277],"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":[0.00001829053,0.00001517142,0.000142247,0.0001112447,0.000001739982,0.00005719648,0.002213532,0.0001207371,0.0002642857,0.6006965,0.2872259,0.109133],"study_design_scores_gemma":[9.019148e-7,0.000004743608,0.00008598871,0.00004785773,5.432656e-7,0.00006116751,0.0002790699,0.00003157558,0.00007426658,0.008664091,0.9907479,0.000001946513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007997723,0.003265571,0.002408133,0.001564524,0.001222391,0.00003548735,0.000105431,0.0001356457,0.9904631],"genre_scores_gemma":[0.008917816,0.002387648,0.001214906,0.0004364591,0.0002451152,0.0000348226,0.0001073088,0.0001260946,0.9865299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1259686,"threshold_uncertainty_score":0.421407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515703963948039,"score_gpt":0.2493502332679554,"score_spread":0.224193193628475,"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."}}