{"id":"W4399140931","doi":"10.22148/001c.116915","title":"A Counterfactual Canon","year":2024,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Canon; Psychology; Art; Literature; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000281684,0.00005089122,0.0001131007,0.00004769337,0.00003240257,0.000299121,0.0001286163,0.00003671892,0.0001566881],"category_scores_gemma":[0.0001534733,0.00003065413,0.0001316572,0.0001827905,0.000094653,0.0004495733,0.000009596365,0.0001359461,0.00003710135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011708,"about_ca_system_score_gemma":0.0002493936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002896157,"about_ca_topic_score_gemma":0.0002140966,"domain_scores_codex":[0.9992223,0.00001790745,0.000195155,0.00004519591,0.0003834202,0.0001360698],"domain_scores_gemma":[0.9995186,0.00005238047,0.00006665609,0.00002810999,0.000198556,0.0001356709],"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":[0.00005333111,0.0001076955,0.0005416419,0.00007723938,0.0004827442,0.0007667604,0.09983476,0.0002479643,0.0007835859,0.06321508,0.2812515,0.5526377],"study_design_scores_gemma":[0.00005130167,0.00005662636,0.00006977235,0.0000736539,0.00004473812,0.00002719377,0.006027439,0.00009270444,0.00004525263,0.0004784221,0.9929826,0.00005029724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.422313,0.005671262,0.0002496956,0.01014338,0.003855035,0.00007645659,0.00001219997,0.00005044012,0.5576285],"genre_scores_gemma":[0.9368829,0.0005636692,0.00007798896,0.0001375361,0.001015427,1.006913e-7,5.178829e-7,0.000003493723,0.06131834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7117311,"threshold_uncertainty_score":0.2884431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572198473454398,"score_gpt":0.3412853519776383,"score_spread":0.3055633672430943,"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."}}