{"id":"W2471376105","doi":"10.1177/1527476416652696","title":"Don’t Be a Loser","year":2016,"lang":"en","type":"article","venue":"Television & New Media","topic":"Populism, Right-Wing Movements","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Humiliation; Victory; Politics; Meaning (existential); Reality tv; Power (physics); Face (sociological concept); Passion; Symbol (formal); Aesthetics; Sociology; Law and economics; Political economy; Media studies; Law; Political science; Social psychology; Epistemology; Psychology; Philosophy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006503654,0.0001339223,0.0001783374,0.00008532486,0.0002492994,0.00005218178,0.0004761871,0.0001276765,0.005924971],"category_scores_gemma":[0.001031197,0.00008348547,0.0000772464,0.0002436184,0.000189482,0.0003398887,0.00008812357,0.00008908859,0.001209315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544948,"about_ca_system_score_gemma":0.000277411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157621,"about_ca_topic_score_gemma":0.001817499,"domain_scores_codex":[0.9979289,0.0001412427,0.0002353174,0.0003069947,0.0008970475,0.0004904995],"domain_scores_gemma":[0.998706,0.0003832893,0.00009241926,0.0003233248,0.00005884774,0.00043611],"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":[0.00003061112,0.00008186323,0.00688085,0.000005412851,0.00002223366,0.0000289754,0.01795143,1.54448e-7,0.004070478,0.01672014,0.4265703,0.5276375],"study_design_scores_gemma":[0.0006855071,0.00002573962,0.009963474,0.00008788978,0.00001082879,3.655186e-7,0.0004028931,8.540882e-7,0.0009875472,0.01065591,0.9769955,0.000183442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063009,0.0003650291,0.0007714932,0.04297393,0.003006112,0.000477731,0.00001918777,0.0005195895,0.04556602],"genre_scores_gemma":[0.9624451,0.0003787824,0.001027152,0.002113167,0.001767509,0.000007319772,0.000004343203,0.00002881219,0.03222777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5504252,"threshold_uncertainty_score":0.9995683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984185545796605,"score_gpt":0.3202309948857701,"score_spread":0.2703891394278041,"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."}}