{"id":"W2620383102","doi":"10.15353/whr.v7.30","title":"The Iranian Revolution","year":2015,"lang":"en","type":"article","venue":"Waterloo Historical Review","topic":"Islamic Studies and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Null (SQL); History; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001580735,0.0003471434,0.0002816154,0.001958014,0.001896164,0.003711847,0.0004967874,0.001082461,0.008154247],"category_scores_gemma":[0.002175554,0.0001272732,0.0002441048,0.002507008,0.003541825,0.001789451,0.001226272,0.001678321,0.0012547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005227961,"about_ca_system_score_gemma":0.008497519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03037482,"about_ca_topic_score_gemma":0.04001191,"domain_scores_codex":[0.9991191,0.0002864024,0.00003998498,0.00006374451,0.0003171677,0.000173607],"domain_scores_gemma":[0.999482,0.000124057,0.00006494659,0.00004971111,0.0002381484,0.00004120154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001610988,0.00003891451,0.001264339,0.0009597029,0.00005066593,0.0003842388,0.0048582,0.0002264743,0.0004534291,0.471155,0.2466179,0.2738301],"study_design_scores_gemma":[0.00001284229,0.00001711836,0.003108696,0.0005656693,0.00001606414,0.0001020411,0.00141184,0.00002206574,0.0001277856,0.01022225,0.9843866,0.000007065904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01286261,0.4180366,0.0003541984,0.06847339,0.004749294,0.00001905586,0.0002646478,0.00003219087,0.495208],"genre_scores_gemma":[0.4834253,0.3534377,0.0006744066,0.02721211,0.009725419,0.00005389671,0.0004484023,0.00004780958,0.1249751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03037482,"threshold_uncertainty_score":0.06039608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06283656672836105,"score_gpt":0.3035961215060445,"score_spread":0.2407595547776834,"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."}}