{"id":"W2512985792","doi":"10.5539/jpl.v9n7p160","title":"Economic Causes of Extremism Intellectual (Thoughts) Views of Graduate Students Using Multivariate Statistical Techniques","year":2016,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Naif Arab University for Security Sciences","keywords":"Varimax rotation; Principal component analysis; Multivariate analysis; Linear discriminant analysis; Multivariate statistics; Poverty; Psychology; Factor analysis; Exploratory factor analysis; Identification (biology); Statistical analysis; Cluster (spacecraft); Econometrics; Statistics; Descriptive statistics; Economics; Economic growth; Mathematics; Clinical psychology; Psychometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002322608,0.000264637,0.0002786487,0.002328895,0.000550778,0.001372761,0.0002341629,0.0001939691,0.002769809],"category_scores_gemma":[0.007614991,0.00008020402,0.0006449942,0.001996212,0.0007616549,0.0004594244,0.001029159,0.0007198111,0.0001415472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936974,"about_ca_system_score_gemma":0.0006872025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002148033,"about_ca_topic_score_gemma":0.002993465,"domain_scores_codex":[0.9984202,0.0006607908,0.0001089142,0.0001332628,0.0004390414,0.0002377648],"domain_scores_gemma":[0.993269,0.002621545,0.00230529,0.0003563426,0.0009183695,0.0005294461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001485452,0.0001234548,0.9591887,0.00008127317,0.0001545807,0.0001693418,0.006222887,0.0005210919,0.0005831657,0.001959264,0.0007972675,0.03005042],"study_design_scores_gemma":[0.000003358651,0.000100911,0.9870569,0.00002831063,0.00003756677,0.00004289687,0.009844025,0.001119541,0.0002413708,0.0006918393,0.0008201915,0.00001322973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961376,0.00005330312,0.0007847457,0.0002076905,0.00001200483,0.00004150792,0.0002418739,0.000007378148,0.002513884],"genre_scores_gemma":[0.9991743,0.0000445619,0.0003694574,0.00001321437,0.00001346298,0.00002221555,0.0001295116,0.000001770468,0.0002316097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002769809,"threshold_uncertainty_score":0.01228333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345015815094497,"score_gpt":0.3601741525303512,"score_spread":0.2256725710209015,"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."}}