{"id":"W7147664384","doi":"10.70675/48c30fdfz7274z4b27zb564zcd3d4452b445","title":"La mobilisation des jeunes sur les réseaux sociaux pendant les campagnes électorales : l'analyse comparative entre la France et la Russie","year":2016,"lang":"","type":"dissertation","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Quarter (Canadian coin); Ligne","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":[0.002662879,0.0003564465,0.0004186867,0.004218948,0.002841235,0.003770853,0.0005466052,0.0005621564,0.009181188],"category_scores_gemma":[0.006287455,0.0002010218,0.0003968966,0.003809451,0.001497204,0.001688258,0.001659156,0.000688365,0.001088726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004802056,"about_ca_system_score_gemma":0.003015252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1610577,"about_ca_topic_score_gemma":0.2141215,"domain_scores_codex":[0.997826,0.0009262172,0.00007367659,0.0002557332,0.0005185892,0.000399678],"domain_scores_gemma":[0.9956769,0.001827233,0.0007478882,0.0001702713,0.001201965,0.0003756951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003074022,0.0001040691,0.3255992,0.0005959386,0.0001733262,0.0005768351,0.4291675,0.0009531722,0.001976085,0.02138186,0.005111974,0.2140527],"study_design_scores_gemma":[0.00001034883,0.0001556667,0.7005285,0.0003709485,0.00005829391,0.000198934,0.1874292,0.0004600471,0.0004389147,0.0008071838,0.1094923,0.00004966405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613688,0.001889177,0.0008365198,0.001323158,0.00004372314,0.00003219248,0.0003567349,0.00004519232,0.03410441],"genre_scores_gemma":[0.9839904,0.000956243,0.0007652384,0.000122957,0.00004034496,0.00005134942,0.0002467945,0.00002497983,0.01380156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610577,"threshold_uncertainty_score":0.3202405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06878581359643554,"score_gpt":0.3955287289356011,"score_spread":0.3267429153391656,"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."}}