{"id":"W2527936649","doi":"","title":"WHEREVER I GO, I WILL ALWAYS BE A LOYAL AMERICAN (Author: Yoon K. Pak)","year":2002,"lang":"fr","type":"article","venue":"McGill Journal of Education / Revue des sciences de l'éducation de McGill","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Political science; Law and economics; Economics","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004315073,0.0004312892,0.0006098925,0.0006600051,0.00339754,0.0002701588,0.001215011,0.0002472165,0.002899167],"category_scores_gemma":[0.002185554,0.0004511272,0.0003990145,0.002843318,0.003480877,0.002376104,0.00007249201,0.000647201,0.0001623602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351237,"about_ca_system_score_gemma":0.001538244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896616,"about_ca_topic_score_gemma":0.001063121,"domain_scores_codex":[0.9941835,0.001446311,0.00133978,0.0006430721,0.001138313,0.001249001],"domain_scores_gemma":[0.9948056,0.0005860896,0.001968878,0.0003938586,0.001101882,0.00114366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005601987,0.003345547,0.00765316,0.0004577157,0.0001923722,0.00004356331,0.1339503,0.001968737,0.001101525,0.08620239,0.1924116,0.572617],"study_design_scores_gemma":[0.0003188312,0.0006723709,0.002223786,0.0007528327,0.0002261303,0.0009667798,0.05549077,0.001786341,0.0003587191,0.01329607,0.9232513,0.0006560599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6185284,0.01993456,0.001971376,0.1281275,0.03265762,0.0008112674,0.0001712478,0.0001140905,0.197684],"genre_scores_gemma":[0.8840958,0.00891133,0.02842397,0.007944464,0.003270655,0.00002595723,0.000006394061,0.00006451069,0.06725691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7308397,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3288740315438947,"score_gpt":0.4302107100905582,"score_spread":0.1013366785466636,"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."}}