{"id":"W3035951470","doi":"10.1080/13629395.2020.1783828","title":"Triadic coercion: Israel’s targeting of states that host non-state actors","year":2020,"lang":"en","type":"article","venue":"Mediterranean Politics","topic":"Jewish and Middle Eastern Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anachronism; Coercion (linguistics); State (computer science); Political science; Host (biology); Political economy; Economics; Law; Biology; Computer science; Linguistics; Philosophy; Ecology; Politics","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":[0.002238462,0.0001574963,0.0001612202,0.000554155,0.003174499,0.00352296,0.000573398,0.001369952,0.004898167],"category_scores_gemma":[0.004013157,0.000123755,0.0001537429,0.0006735297,0.005652204,0.002250192,0.003287291,0.001457393,0.0005222652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231288,"about_ca_system_score_gemma":0.001618562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007817897,"about_ca_topic_score_gemma":0.009578592,"domain_scores_codex":[0.998276,0.001041607,0.00003547817,0.0001421583,0.0001849281,0.0003198756],"domain_scores_gemma":[0.9987959,0.0004807134,0.0002362165,0.0001808703,0.0001559354,0.0001503155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001652252,0.00007561717,0.01435912,0.00005397203,0.00003909898,0.0004822542,0.06996228,0.0008052957,0.003332991,0.8623968,0.005550958,0.04277632],"study_design_scores_gemma":[0.0003537451,0.0005304943,0.05729752,0.0005530236,0.0001236598,0.0012707,0.1690304,0.01473374,0.01202797,0.4249793,0.3189509,0.000148549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5135547,0.000384823,0.01170841,0.005613522,0.0001078426,0.00005932132,0.00003996788,0.00005906565,0.4684723],"genre_scores_gemma":[0.993776,0.00004194241,0.0004257034,0.0004324314,0.00001241288,0.00002145517,0.000006432482,0.000007940177,0.005275684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007817897,"threshold_uncertainty_score":0.01678121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0665859936121948,"score_gpt":0.3018752011980069,"score_spread":0.2352892075858121,"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."}}