{"id":"W3164487350","doi":"10.3968/12017","title":"Innovation of Ideological and Political Education in Big Data Age","year":2021,"lang":"en","type":"article","venue":"Canadian social science","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Big data; Subjectivity; Politics; Political education; Quality (philosophy); Public relations; Sociology; Political science; Social science; Epistemology; Computer science; Law; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009295681,0.000041207,0.00008935831,0.0001593494,0.000352878,0.00005672168,0.0002946986,0.00009029746,0.00008535698],"category_scores_gemma":[0.003716783,0.00004126015,0.000007631409,0.001816898,0.00203705,0.0001961227,0.00007004298,0.00009573051,0.000004183602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023193,"about_ca_system_score_gemma":0.00876127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1355472,"about_ca_topic_score_gemma":0.189287,"domain_scores_codex":[0.9988366,0.0001096153,0.0001628985,0.0002345782,0.0002182581,0.0004379911],"domain_scores_gemma":[0.9992368,0.00008385552,0.00002938718,0.0001156453,0.0002479906,0.0002863507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[4.577198e-7,0.00002168063,0.03508881,0.000002657411,3.040166e-7,0.000002749063,0.0007464421,5.960811e-9,0.0001468726,0.9363511,0.0002400417,0.02739886],"study_design_scores_gemma":[0.00009717805,0.00001524473,0.7180684,0.0000165717,0.000005122712,0.000002178257,0.01873584,0.000007677777,0.0001551572,0.1736349,0.08909754,0.0001642786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6599448,0.00004200835,0.00001341914,0.0137298,0.00041694,0.00007353155,0.00001653963,0.000006615266,0.3257564],"genre_scores_gemma":[0.9968404,0.000004970431,0.000158174,0.002148303,0.0003523272,0.000002537705,0.00002355277,0.000001327698,0.0004683686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7627163,"threshold_uncertainty_score":0.9968581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179979981614594,"score_gpt":0.4009791262051151,"score_spread":0.2829811280436557,"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."}}