{"id":"W4381281607","doi":"10.1017/s0008423923000380","title":"Twitter ou l'avènement d'un « Frankenstein 2.0 » ? L'impact des géants de la technologie sur la société et le poids des gouvernements face aux dérives technologiques","year":2023,"lang":"fr","type":"article","venue":"Canadian Journal of Political Science","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006330172,0.0005584246,0.0004302943,0.001837831,0.004636812,0.01542906,0.00125336,0.00252472,0.02163838],"category_scores_gemma":[0.02847854,0.0004001786,0.0004255246,0.002689084,0.005583861,0.01122737,0.003362439,0.002121889,0.004068768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01179887,"about_ca_system_score_gemma":0.01256878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2848838,"about_ca_topic_score_gemma":0.3053002,"domain_scores_codex":[0.9921002,0.002134912,0.0002815947,0.0009235328,0.003829398,0.0007303524],"domain_scores_gemma":[0.971562,0.01189408,0.002183965,0.001913042,0.01041944,0.002027494],"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":[0.001038897,0.0001335503,0.07452632,0.001958609,0.0001815921,0.0008674125,0.03407632,0.00255686,0.008958821,0.3651783,0.1657329,0.3447905],"study_design_scores_gemma":[0.00004941436,0.0001582181,0.0408251,0.001458072,0.0001680945,0.0003529473,0.03373923,0.006053886,0.008006597,0.03130588,0.877616,0.0002666471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2395853,0.01250769,0.02934405,0.2009089,0.003226038,0.000352274,0.00491981,0.001497308,0.5076587],"genre_scores_gemma":[0.853981,0.007873035,0.01011921,0.009280879,0.0008106348,0.0001744922,0.001644987,0.0003768099,0.1157389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2848838,"threshold_uncertainty_score":0.5664512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06909567938523913,"score_gpt":0.4160959970519422,"score_spread":0.3470003176667031,"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."}}