{"id":"W3022316253","doi":"10.3968/11580","title":"The Influence of Social Network on Youth Political Expression","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Ideology; Expression (computer science); Social media; State (computer science); Social network (sociolinguistics); Administration (probate law); Sociology; Social psychology; Political science; Political economy; Psychology; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001758497,0.0001881005,0.0002070084,0.000984241,0.002142885,0.002686179,0.0003017696,0.0003897941,0.007769993],"category_scores_gemma":[0.00775207,0.0001100482,0.0002854308,0.0006553543,0.0009450062,0.0008336799,0.001483304,0.000696388,0.0003975976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842538,"about_ca_system_score_gemma":0.001221401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652946,"about_ca_topic_score_gemma":0.02208376,"domain_scores_codex":[0.9978396,0.001182743,0.00004927449,0.0001553834,0.0003423614,0.0004307261],"domain_scores_gemma":[0.9953781,0.001905095,0.0008135245,0.0001347296,0.0006108517,0.001157606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00081609,0.0009206027,0.7787781,0.000150306,0.0001917279,0.001141132,0.1004121,0.0002934431,0.00253004,0.01665677,0.005074787,0.09303486],"study_design_scores_gemma":[0.00003658802,0.0001749019,0.917105,0.0001321394,0.0001373349,0.0003179273,0.06110793,0.0009537668,0.0008075954,0.003270291,0.01592425,0.00003226287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696828,0.0004042124,0.0001772907,0.0009779797,0.00003351111,0.00001435483,0.00007628479,0.000008294693,0.02862528],"genre_scores_gemma":[0.9986916,0.000137374,0.00005070252,0.00003673556,0.000009063816,0.00000824285,0.00002079831,0.000005141761,0.001040247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01652946,"threshold_uncertainty_score":0.03286654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462595827157845,"score_gpt":0.3105429150772133,"score_spread":0.2759169568056348,"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."}}