{"id":"W4385172949","doi":"10.2139/ssrn.4519265","title":"Keep Your Enemies Closer: Strategic Platform Adjustments During U.S. And French Elections","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Political science; Economics; Political economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031002,0.00011807,0.0001332877,0.0001831036,0.001270252,0.0001307848,0.0001983004,0.0001097425,0.00007942862],"category_scores_gemma":[0.00008956797,0.0001120866,0.00006060956,0.0004370853,0.0001302238,0.000343799,0.00002713751,0.001025465,0.0001022661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006030016,"about_ca_system_score_gemma":0.002297223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338,"about_ca_topic_score_gemma":0.009524978,"domain_scores_codex":[0.9968246,0.00006133196,0.0002178941,0.0001499257,0.0003646665,0.002381556],"domain_scores_gemma":[0.999491,0.00006206709,0.00009331548,0.00008785305,0.00006920046,0.0001965879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001730478,0.00004631039,0.03406972,0.00002525963,0.0002383754,0.00002941989,0.01313211,0.00006989297,0.0008850496,0.942297,0.0002567817,0.008932714],"study_design_scores_gemma":[0.0005878199,0.0001784614,0.0143172,0.00003226467,0.00005335739,0.0001515753,0.05096388,0.00003252544,0.0001797701,0.9282503,0.004974087,0.0002788054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872237,0.001288754,0.00001473845,0.0005808023,0.0003411045,0.00009979714,0.000003542964,0.00008877862,0.01035871],"genre_scores_gemma":[0.9653215,0.0277083,0.00001214556,0.00005940527,0.0007789637,0.00000895743,0.00000356172,0.00001248483,0.006094611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03783177,"threshold_uncertainty_score":0.976988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724881823723774,"score_gpt":0.3191315555722106,"score_spread":0.2818827373349728,"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."}}