{"id":"W4398799250","doi":"10.7910/dvn/wv1nuo","title":"Replication Data for: Giving Succor to Extremism","year":2021,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Computer science; Medicine; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005465554,0.002113078,0.001718322,0.003439223,0.001783782,0.004886664,0.004084507,0.003301959,0.1509212],"category_scores_gemma":[0.04318023,0.0008662562,0.001962118,0.006813393,0.001207596,0.001723803,0.00350248,0.003374181,0.1153984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748679,"about_ca_system_score_gemma":0.005344249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627266,"about_ca_topic_score_gemma":0.04544192,"domain_scores_codex":[0.9960445,0.001002087,0.0006287784,0.001124371,0.0007696398,0.0004305935],"domain_scores_gemma":[0.9850901,0.00518601,0.001457745,0.004179372,0.00303591,0.001050705],"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":[0.0001086397,0.00002740541,0.001535676,0.0006375325,0.00006048774,0.00003742736,0.00003960668,0.0001527589,0.00005401607,0.0003982437,0.9951141,0.001834132],"study_design_scores_gemma":[0.002409125,0.00006397352,0.01436299,0.0008631721,0.0001704655,0.0001416266,0.0002320133,0.0007677343,0.0003271871,0.003603254,0.9769788,0.00007960389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002849992,0.00008740988,0.0001156293,0.0003193801,0.0001128499,0.00005713874,0.9978726,0.000292181,0.0008578681],"genre_scores_gemma":[0.001938427,0.00008735215,0.0005534273,0.0002174702,0.0000486174,0.0006469286,0.9943892,0.0001534375,0.001965046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1509212,"threshold_uncertainty_score":0.5048817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07722710424592995,"score_gpt":0.3697671502895956,"score_spread":0.2925400460436657,"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."}}