{"id":"W2589092011","doi":"10.2139/ssrn.2911177","title":"Extreme Protest Tactics Reduce Popular Support for Social Movements","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Social movement; Political science; Public relations; Computer science; Computer security; Politics; Law","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":[0.0008658387,0.0001946778,0.0002621801,0.0005262656,0.0009677666,0.001122374,0.0003422957,0.000961374,0.01893932],"category_scores_gemma":[0.009357911,0.0001785478,0.0002405004,0.0003503755,0.000671648,0.0005384414,0.001627855,0.0009692379,0.00110567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788242,"about_ca_system_score_gemma":0.0004429454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000712972,"about_ca_topic_score_gemma":0.003097828,"domain_scores_codex":[0.9992189,0.0002779751,0.00002941446,0.00008318497,0.0001646169,0.0002258228],"domain_scores_gemma":[0.993154,0.0030172,0.001925803,0.000637632,0.0002474957,0.001017959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007116303,0.01269687,0.4039843,0.0006423537,0.001132634,0.001650339,0.01028271,0.00485454,0.07166222,0.04982205,0.03118135,0.4049743],"study_design_scores_gemma":[0.0004790896,0.004015426,0.9139979,0.0001044712,0.0002736365,0.0008543218,0.0138222,0.005584123,0.006378241,0.02918729,0.02525303,0.0000501225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778212,0.0001062595,0.0005025595,0.0008499107,0.00004367634,0.00001850652,0.00003959154,0.00002910698,0.02058919],"genre_scores_gemma":[0.9972249,0.00003667231,0.0002063631,0.0002301232,0.00002270719,0.00001559917,0.00003491815,0.000006685291,0.002221919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893932,"threshold_uncertainty_score":0.06335831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07099760261017164,"score_gpt":0.3707345542836203,"score_spread":0.2997369516734487,"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."}}