{"id":"W4245801105","doi":"10.3138/9781442627345-fm","title":"Frontmatter","year":2005,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002003752,0.0006308883,0.0003829974,0.001132044,0.001961511,0.003330512,0.0006699245,0.001803291,0.7709595],"category_scores_gemma":[0.0007166632,0.0002587395,0.0003232595,0.0009237609,0.0004541139,0.003297658,0.002212138,0.001607138,0.5590432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889533,"about_ca_system_score_gemma":0.0003869837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663612,"about_ca_topic_score_gemma":0.007719578,"domain_scores_codex":[0.9998263,0.00001860253,0.000006477967,0.00004440795,0.00006664038,0.00003765717],"domain_scores_gemma":[0.999791,0.00004454963,0.00001085453,0.00002311107,0.00005926581,0.00007134784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001345538,0.0000202425,0.0001114335,0.00005281671,0.000001039883,0.00007878739,0.0001786993,0.00001803498,0.0001613524,0.01205201,0.9041311,0.08318096],"study_design_scores_gemma":[9.998794e-7,0.000003692073,0.00009240928,0.00002240651,3.156502e-7,0.00003862205,0.00004983999,0.00001062344,0.00002842176,0.0004792364,0.9992724,0.000001059173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003277836,0.001913472,0.0002779254,0.001380835,0.002048588,0.00001693589,0.0002835318,0.0002981053,0.9934528],"genre_scores_gemma":[0.000732514,0.0003504284,0.00007184638,0.0004888133,0.0001157339,0.000004748807,0.00008330162,0.0000761103,0.9980764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2290405,"threshold_uncertainty_score":0.3266985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615772815043895,"score_gpt":0.2490318215479238,"score_spread":0.2228740933974848,"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."}}