{"id":"W2052279646","doi":"10.1177/1555412014567228","title":"Stand by Your Man","year":2015,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"League; Psychology; Social psychology; Gender gap; Video game; Sociology; Public relations; Political science; Demographic economics; Multimedia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007114679,0.001088809,0.0007414473,0.000563257,0.004575871,0.004529283,0.0009552153,0.002593144,0.4080157],"category_scores_gemma":[0.004271732,0.0003002246,0.0006023498,0.000320414,0.001068144,0.004625286,0.003955133,0.004115884,0.2888972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599413,"about_ca_system_score_gemma":0.001516556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513022,"about_ca_topic_score_gemma":0.00722466,"domain_scores_codex":[0.9991627,0.0001566682,0.00002820031,0.0001774905,0.000242997,0.0002319835],"domain_scores_gemma":[0.997847,0.0001063086,0.00009319298,0.00007594613,0.0005105086,0.001367091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001861022,0.00002818336,0.0006226503,0.00006142054,0.000005708202,0.000501677,0.0004989054,0.00001155856,0.0001491763,0.002380586,0.9483969,0.04732457],"study_design_scores_gemma":[0.000003850391,0.00003041395,0.0003903031,0.0001019593,0.000004104126,0.001177832,0.0011904,0.00001840682,0.00005828605,0.0006652897,0.9963495,0.000009707182],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007117264,0.01374663,0.002495031,0.1502428,0.1301978,0.0002425324,0.0006816178,0.001468561,0.6938077],"genre_scores_gemma":[0.016536,0.003803596,0.0007854523,0.04625568,0.006796609,0.00006329852,0.0001701555,0.0003675667,0.9252217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4080157,"threshold_uncertainty_score":0.8443938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791146276764291,"score_gpt":0.2988639779630185,"score_spread":0.2709525151953756,"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."}}