{"id":"W3128702830","doi":"10.29173/irie162","title":"Rule Sets, Cheating, and Magic Circles: Studying Games and Ethics","year":2005,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Digital Games and Media","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cheating; Relation (database); MAGIC (telescope); Game mechanics; Sociology; Epistemology; Computer science; Psychology; Social psychology; Human–computer interaction; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006441089,0.0006326259,0.0007043083,0.002194116,0.003318484,0.007526838,0.00130217,0.003035625,0.001741045],"category_scores_gemma":[0.01767657,0.0003989143,0.0004987267,0.001775897,0.02682264,0.01409575,0.003132095,0.003622714,0.0001760784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003212614,"about_ca_system_score_gemma":0.001673234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296596,"about_ca_topic_score_gemma":0.002387866,"domain_scores_codex":[0.9912813,0.007218674,0.0002174376,0.0003872783,0.000563561,0.0003317083],"domain_scores_gemma":[0.9772127,0.01991453,0.001312513,0.0005133417,0.0005189658,0.0005278976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001371429,0.00003433441,0.001108532,0.00008084103,0.00001272322,0.00007563247,0.01565977,0.001485577,0.0001031239,0.9729777,0.0005580978,0.007890022],"study_design_scores_gemma":[0.00001146133,0.00003041851,0.0009927938,0.0001694794,0.000007516425,0.00009113477,0.01212689,0.004176379,0.0001249801,0.9674787,0.01477383,0.00001642958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4209675,0.02705927,0.1962404,0.04982629,0.0003839433,0.0001551251,0.00005655544,0.00007162782,0.3052392],"genre_scores_gemma":[0.9812906,0.003724003,0.0110424,0.0005875694,0.0001107955,0.0001276015,0.00001447956,0.00002179256,0.003080708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007526838,"threshold_uncertainty_score":0.03406411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06230620617696446,"score_gpt":0.3868594608306238,"score_spread":0.3245532546536593,"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."}}