{"id":"W7045603172","doi":"","title":"2025-01-12 - BTWRLM611 - Who is Trolling Whom","year":2025,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Government (linguistics); Censorship; Homeland; Multilateralism; Fell; National security; Democracy; Terrorism; Language change","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001123365,0.0008528059,0.0004791504,0.00105,0.002088072,0.004887769,0.001101381,0.004372565,0.8872128],"category_scores_gemma":[0.003635063,0.0004019592,0.0006657877,0.0008902421,0.0005255968,0.002759758,0.002807909,0.002325719,0.8928544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695578,"about_ca_system_score_gemma":0.002376598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420661,"about_ca_topic_score_gemma":0.02925835,"domain_scores_codex":[0.9989626,0.00007846265,0.00003365185,0.0001401396,0.0005291816,0.0002558146],"domain_scores_gemma":[0.9977615,0.0001753316,0.00007255055,0.0001745457,0.000826724,0.0009893543],"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":[0.00001233641,0.00002084937,0.00006121597,0.000020807,5.967177e-7,0.00001414232,0.000009327712,0.000008470233,0.0001057937,0.0006885753,0.9862244,0.01283346],"study_design_scores_gemma":[0.000004201738,0.000005792539,0.0001285958,0.00001697368,5.545488e-7,0.00001305703,0.00002170398,0.0000152528,0.00007301477,0.0001124208,0.9996055,0.000002929377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000263142,0.0002295518,0.0006497358,0.005175907,0.003219105,0.0001316277,0.008204807,0.004153701,0.9779725],"genre_scores_gemma":[0.0007751418,0.000140362,0.0003507057,0.003711288,0.0001935699,0.00004933356,0.004119335,0.000917795,0.9897424],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8872128,"threshold_uncertainty_score":0.1608772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578719541313657,"score_gpt":0.2585562691784156,"score_spread":0.242769073765279,"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."}}