{"id":"W3199714350","doi":"10.17083/ijsg.v8i3.467","title":"Introduction to the Special Issue on GaLA Conf 2020","year":2021,"lang":"en","type":"article","venue":"International Journal of Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Context (archaeology); Computer science; Library science; Work (physics); World Wide Web; Engineering; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003058705,0.00009753201,0.0001303181,0.0001040243,0.00004407217,0.0001028718,0.0003917253,0.0000488055,0.01133597],"category_scores_gemma":[0.0002699304,0.00007383929,0.0001077504,0.0001506062,0.0000363665,0.00008670489,0.00003124574,0.0002307061,0.001223822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042241,"about_ca_system_score_gemma":0.00011605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001245935,"about_ca_topic_score_gemma":0.00002852357,"domain_scores_codex":[0.9986989,0.0001011294,0.0004093659,0.0001832478,0.0004873852,0.0001198925],"domain_scores_gemma":[0.9983758,0.0001091995,0.0002698004,0.0002044948,0.0009652079,0.00007547587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002219394,0.0002056727,0.0004200256,0.00000118172,0.0001933141,0.0000643625,0.003402103,0.0002298375,0.0005876346,0.008987072,0.8800451,0.1056418],"study_design_scores_gemma":[0.0002848852,0.0001348893,0.04873477,0.00002140603,0.00001638804,0.000681207,0.002676436,0.000003239155,0.0008434837,0.0004308563,0.9461007,0.00007181605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1260802,0.0003484649,0.00033305,0.7948843,0.04307465,0.0001321972,0.00002360436,0.00001196416,0.03511162],"genre_scores_gemma":[0.6129107,0.0003818397,0.0008724957,0.01965219,0.2934518,0.00002071012,0.00004965294,0.00003560744,0.07262497],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7752321,"threshold_uncertainty_score":0.9995539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128505128921502,"score_gpt":0.3242048008966134,"score_spread":0.3129197496073983,"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."}}