{"id":"W4388563862","doi":"10.1371/journal.pone.0292941","title":"Contextualizing involvement in terrorist violence by considering non-significant findings: Using null results and temporal perspectives to better understand radicalization outcomes","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Public Safety Canada","keywords":"Radicalization; Terrorism; Ideology; Psychology; Viewpoints; Criminology; Social psychology; Perspective (graphical); Poison control; Politics; Political science; Medicine; Law; Medical emergency; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1745715,0.0008105893,0.000995166,0.005661701,0.001869253,0.005351369,0.002169238,0.001404465,0.003493068],"category_scores_gemma":[0.3624199,0.00048246,0.002098613,0.005098394,0.009446591,0.007394505,0.007058332,0.004276635,0.0002767879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687968,"about_ca_system_score_gemma":0.003186204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003575386,"about_ca_topic_score_gemma":0.003769392,"domain_scores_codex":[0.8992274,0.07527806,0.009589882,0.008291436,0.005821479,0.001791756],"domain_scores_gemma":[0.4655853,0.4539638,0.04781329,0.02263329,0.008516291,0.001488117],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001070008,0.0002290016,0.6862144,0.005976644,0.002955541,0.001799441,0.09816319,0.001676634,0.002002585,0.07104646,0.005250325,0.1236157],"study_design_scores_gemma":[0.0001010418,0.001607162,0.6444774,0.006300405,0.003245091,0.001737871,0.1055319,0.01030091,0.006661322,0.180631,0.03909487,0.0003110424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.75282,0.009718086,0.2020258,0.01320725,0.001645923,0.0008929863,0.003528289,0.000231727,0.0159299],"genre_scores_gemma":[0.9610012,0.0008732695,0.03488262,0.0008739185,0.0003127285,0.0008753373,0.0006058146,0.0001064344,0.0004687162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8254285,"threshold_uncertainty_score":0.9232333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002724496882348,"score_gpt":0.3248109745994319,"score_spread":0.2245385249111971,"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."}}