{"id":"W2730507398","doi":"","title":"Affective Symmetry: Affect and Networks in Blizzard’s StarCraft II: Legacy of the Void","year":2017,"lang":"en","type":"article","venue":"Loading...","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Affect (linguistics); Void (composites); Computer science; Sociology; Human–computer interaction; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.0007347077,0.0002195318,0.0001671903,0.001026034,0.00190656,0.003855781,0.0003298944,0.0003905261,0.003590038],"category_scores_gemma":[0.003325112,0.0001386884,0.0001573324,0.000672101,0.003408435,0.003348706,0.002412992,0.0006653845,0.0002736682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008726848,"about_ca_system_score_gemma":0.0002807458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632973,"about_ca_topic_score_gemma":0.003488859,"domain_scores_codex":[0.9994383,0.0002698573,0.00001347782,0.00009031333,0.0001210857,0.00006701321],"domain_scores_gemma":[0.998923,0.0005017932,0.0002117832,0.00009877012,0.00009364656,0.0001711075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000712082,0.0001860739,0.08685374,0.0003079313,0.00008407654,0.001356201,0.5021245,0.002600182,0.01379072,0.2592214,0.008531866,0.1242312],"study_design_scores_gemma":[0.0000519672,0.0003698195,0.299455,0.0002326169,0.00009895727,0.001459191,0.4122401,0.01402376,0.005758875,0.1079248,0.1582417,0.0001430788],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8767578,0.0002333817,0.01419273,0.0009280879,0.00007852948,0.00003816637,0.0001004841,0.00009905089,0.1075717],"genre_scores_gemma":[0.9972708,0.00003224152,0.0007606043,0.00003387145,0.000009522171,0.00001001938,0.00002252977,0.00001972579,0.001840817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003855781,"threshold_uncertainty_score":0.01200992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573782383251257,"score_gpt":0.2927291576308833,"score_spread":0.2769913337983707,"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."}}