{"id":"W4252891888","doi":"10.33423/jop.v20i1.2762","title":"Glossing Over: How Magazine Fact Checkers Use Conditional Self-Presentation to Straddle Glamour and Dreariness in Their Work","year":2020,"lang":"en","type":"article","venue":"Journal of Organizational Psychology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Presentation (obstetrics); Cognitive reframing; Work (physics); Straddle; Computer science; Psychology; Social psychology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002885088,0.00008181664,0.0001472073,0.0001584697,0.0001214222,0.000194238,0.0001291643,0.00007948851,0.0005233028],"category_scores_gemma":[0.0008790978,0.00007470753,0.0000249201,0.0007781495,0.00006537817,0.000945756,0.00002029779,0.000146439,0.00001749155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006684276,"about_ca_system_score_gemma":0.0001845809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000681135,"about_ca_topic_score_gemma":0.00002006151,"domain_scores_codex":[0.9990246,0.0001153843,0.0002879864,0.00009683466,0.0003262392,0.0001489637],"domain_scores_gemma":[0.9990851,0.000109328,0.0002305736,0.0000414486,0.000299618,0.0002338883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003863798,0.0002664562,0.7973559,0.00002198902,0.0001213889,0.00003325149,0.103986,0.0007841109,0.003980374,0.01526618,0.07604194,0.001755922],"study_design_scores_gemma":[0.0008927102,0.00007015211,0.9851285,0.00001372928,0.00000625673,0.00002392211,0.0024589,0.00004525442,0.00004826576,0.0008274573,0.01039493,0.00008990938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949379,0.00001591649,0.00339301,0.04612994,0.0001835877,0.0001071939,0.00001379029,0.00001563159,0.0007619085],"genre_scores_gemma":[0.9929743,0.00004635831,0.001509183,0.005097372,0.000284903,1.969211e-7,0.00001947356,0.000008752972,0.00005941164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1877726,"threshold_uncertainty_score":0.5729799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752505446529659,"score_gpt":0.3464067385383964,"score_spread":0.2888816840730998,"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."}}