{"id":"W1480851260","doi":"10.1109/gem.2014.7048110","title":"Scale effects in &amp;#x0022;bullet hell&amp;#x0022; games","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scaling; Silver bullet; Computer science; Scale (ratio); Materials science; Physics; Metallurgy; Mathematics","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":[0.00131156,0.00143946,0.0005953375,0.000617914,0.0004449986,0.001721256,0.0009985841,0.0007347913,0.01054351],"category_scores_gemma":[0.02656131,0.000410205,0.0004185458,0.0004317136,0.000638865,0.001748774,0.001729889,0.0008956757,0.00128355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802592,"about_ca_system_score_gemma":0.0002808293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009068,"about_ca_topic_score_gemma":0.001122183,"domain_scores_codex":[0.9980524,0.0005284879,0.0001805754,0.0003979765,0.0006322223,0.0002083554],"domain_scores_gemma":[0.9788231,0.01650807,0.000933218,0.001741935,0.0009986622,0.0009948986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01776602,0.008191378,0.02282756,0.003490781,0.0003877202,0.0006772013,0.004825423,0.02655329,0.6119114,0.007189567,0.01094425,0.2852354],"study_design_scores_gemma":[0.003806422,0.05094748,0.2808811,0.0006674878,0.00113969,0.0008391045,0.003061701,0.1568525,0.4586206,0.01677565,0.02584563,0.000562655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728468,0.0002905885,0.0170198,0.0001978016,0.0001712908,0.0002868283,0.0004112207,0.001530489,0.007245109],"genre_scores_gemma":[0.9788142,0.0001847976,0.01732703,0.0001222849,0.0000523391,0.0003533277,0.0002767065,0.0004167025,0.002452529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01054351,"threshold_uncertainty_score":0.03527158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617509188693115,"score_gpt":0.2866721009601315,"score_spread":0.2704970090732003,"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."}}