{"id":"W4392172319","doi":"10.1007/978-3-031-54968-7","title":"Advances in Computer Games","year":2024,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Digital Games and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001030992,0.0003433663,0.0004664112,0.0006939193,0.00009422294,0.0007218101,0.001419402,0.0003037162,0.00003861633],"category_scores_gemma":[0.0001474396,0.0003023415,0.0001216689,0.001298952,0.001759753,0.000741165,0.0004865879,0.0007511355,0.0001263643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006425089,"about_ca_system_score_gemma":0.001999385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006951242,"about_ca_topic_score_gemma":0.004175216,"domain_scores_codex":[0.9965927,0.00006127555,0.0003849357,0.001061155,0.001066162,0.0008337813],"domain_scores_gemma":[0.9986439,0.0005525179,0.0001106801,0.0003892659,0.00009942015,0.0002042124],"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":[0.000002429492,0.00002150265,0.00007480419,0.00005718933,0.000002053947,0.00009660065,0.005750371,0.003909144,7.330099e-7,0.003123833,0.0003912989,0.9865701],"study_design_scores_gemma":[0.0001455921,0.00009645321,0.00007730059,0.001271701,0.000006328146,0.000006475313,0.000004249035,0.01315208,0.00001618123,0.09989846,0.8847841,0.000541079],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001271451,0.009511808,0.5932657,0.001489189,0.01074356,0.0006565409,0.00001348993,0.0002272991,0.3839653],"genre_scores_gemma":[0.2654181,0.02006598,0.3706149,0.02285839,0.04580536,0.0002359887,0.0001321979,0.0005281527,0.2743409],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.986029,"threshold_uncertainty_score":0.9999429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126588475561189,"score_gpt":0.2849974848356167,"score_spread":0.2737316000800047,"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."}}