{"id":"W4406269809","doi":"10.29173/cgs7","title":"“Almost the Same but not Quite”","year":2022,"lang":"en","type":"article","venue":"Critical Gambling Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Gambling Research Institute, University of Calgary; University of Alberta","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009070106,0.00008914222,0.0001679901,0.00002972021,0.001232102,0.0001229753,0.0003067322,0.0000214459,0.0001676844],"category_scores_gemma":[0.005601923,0.00006482878,0.00008739313,0.0002609682,0.001197857,0.0001016322,0.0003705628,0.0002266537,0.00004757994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008901897,"about_ca_system_score_gemma":0.00008148648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009356404,"about_ca_topic_score_gemma":0.0001342048,"domain_scores_codex":[0.9984547,0.0001510399,0.0001608788,0.0001970965,0.0005989426,0.0004373773],"domain_scores_gemma":[0.9980015,0.00160086,0.00002066226,0.0001435479,0.0001363146,0.00009714841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000030573,0.0001565555,0.0003803033,0.00003976472,0.0000921864,0.00006074584,0.07887651,0.00001788078,0.0001100583,0.8162009,0.01947667,0.08455789],"study_design_scores_gemma":[0.00008052927,0.00005558691,0.0002193616,0.00001179361,0.00002625838,0.000002076376,0.1776382,0.000007718972,0.00003736436,0.005047317,0.8167646,0.0001091706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2338138,0.01315621,0.00006129983,0.1841486,0.006691867,0.0005071124,0.00008755912,0.0003745641,0.561159],"genre_scores_gemma":[0.9605408,0.0003236007,0.00007621396,0.004841203,0.0005975666,0.00008227594,0.000001159708,0.00001007576,0.03352712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8111535,"threshold_uncertainty_score":0.9476458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382019177989372,"score_gpt":0.4248286347909228,"score_spread":0.2866267169919856,"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."}}