{"id":"W7069040005","doi":"","title":"1006146.pdf","year":2018,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Metallurgy and Cultural Artifacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Cambridge; University of Minnesota; University of California, Davis; Susquehanna University; Strong","keywords":"Entertainment; Video game culture; Entertainment industry; Game Developer; Game studies; Video game development; Video game design","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000711392,0.0002523634,0.0002585713,0.00007147068,0.00103874,0.0003720649,0.0008599395,0.0002454136,0.9978076],"category_scores_gemma":[0.0002068225,0.0001727201,0.000138239,0.000312436,0.0006468619,0.0002474847,0.0001043604,0.0001848622,0.9994795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008789891,"about_ca_system_score_gemma":0.0002379956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302151,"about_ca_topic_score_gemma":0.009525605,"domain_scores_codex":[0.9979882,0.000359888,0.0002442057,0.0003772084,0.0006183537,0.0004121423],"domain_scores_gemma":[0.998889,0.0001025579,0.000319549,0.0004508803,0.00009599617,0.000142034],"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":[0.000004974523,0.00002017934,0.00002670977,0.00000699886,0.00007133639,0.000002186769,0.0006564599,1.563773e-7,0.000007625353,0.008003273,0.004636985,0.9865631],"study_design_scores_gemma":[0.000106906,0.00001692248,0.0001500033,0.00005016398,0.00006117099,0.000001675324,0.0003700217,0.00000258841,0.000009682348,0.001834527,0.9971307,0.0002656673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000708976,4.350271e-7,0.00005887518,0.002585625,0.001405993,0.0005498173,2.124616e-10,0.0001985902,0.9951298],"genre_scores_gemma":[0.00149064,0.0001396118,0.0002300371,0.000695208,0.002341505,0.00005052819,0.0001144947,0.0001294517,0.9948085],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9924937,"threshold_uncertainty_score":0.7989256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982834064964046,"score_gpt":0.3148028619613332,"score_spread":0.2849745213116927,"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."}}