{"id":"W6995632458","doi":"","title":"The Pegasus spyware scandal: a critical review of Citizen Lab's \"CatalanGate\"","year":2023,"lang":"en","type":"other","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Córdoba; Universidad Nacional de Educación a Distancia","keywords":"Politics; National security; Interrogation; Public opinion; Variety (cybernetics); Public trust","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01157307,0.0005248305,0.001656205,0.0009805425,0.0005916542,0.0002545744,0.002055491,0.0006127107,0.001018992],"category_scores_gemma":[0.01594933,0.0003771603,0.0003184071,0.001019341,0.02818345,0.0003320205,0.001640023,0.001352415,0.00008774495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497505,"about_ca_system_score_gemma":0.003902296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003954887,"about_ca_topic_score_gemma":0.0007441404,"domain_scores_codex":[0.9925499,0.0004294408,0.001772493,0.001381511,0.0003084256,0.003558238],"domain_scores_gemma":[0.99174,0.003555553,0.0004406956,0.001123831,0.0008832258,0.002256634],"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":[0.00009550519,0.0001680316,0.001062071,0.001042027,0.00008730866,0.00000342284,0.000006871164,4.077623e-7,0.0005041328,0.9869105,0.007593329,0.002526384],"study_design_scores_gemma":[0.004689877,0.003906366,0.02426038,0.0101771,0.0006524773,0.0003084474,0.001556492,0.001138006,0.01608997,0.2263565,0.7079595,0.002904924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3360043,0.1312037,0.00003179906,0.1480347,0.005319573,0.005864538,0.01963895,0.0002905273,0.3536119],"genre_scores_gemma":[0.5771976,0.3680814,0.003202048,0.003682284,0.001405952,0.0001002074,0.0001164469,0.0006165509,0.04559761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.760554,"threshold_uncertainty_score":0.9998942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06620927868947948,"score_gpt":0.3994144854443749,"score_spread":0.3332052067548954,"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."}}