{"id":"W4404445431","doi":"10.1609/aiide.v20i1.31889","title":"The FarmQuest Player Telemetry Dataset: Playthrough Data of a Cozy Farming Game","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Machine Intelligence Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Telemetry; Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002797629,0.0001757308,0.0001665144,0.00001941676,0.0001900304,0.000720507,0.0008128959,0.00004573309,0.0001137619],"category_scores_gemma":[0.0002642555,0.00005461809,0.00005941931,0.0003382879,0.0002479771,0.001272383,0.000517087,0.0002396137,0.00001801923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000252345,"about_ca_system_score_gemma":0.00001237763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001092359,"about_ca_topic_score_gemma":0.00004939305,"domain_scores_codex":[0.9986608,0.00001285347,0.0004655012,0.0003690974,0.0002949522,0.0001968144],"domain_scores_gemma":[0.9988393,0.0005182138,0.0002782248,0.0001004148,0.0002240287,0.00003986086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003252698,0.0003005814,0.0005451494,0.00005608471,0.0001655296,0.000001350788,0.0008612459,0.000002289819,0.1350993,0.1122723,0.002998967,0.747372],"study_design_scores_gemma":[0.00008661859,0.00235972,0.003421044,0.002266367,0.0001624718,0.00006643269,0.06274757,0.0148129,0.5585005,0.02829412,0.3263094,0.0009728425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860995,0.0001882021,0.00004027122,0.006433966,0.0003004124,0.0004052101,0.001356155,0.00002383513,0.005152379],"genre_scores_gemma":[0.9991116,0.0002301914,0.00001220436,0.0001192968,0.00008253233,0.00001408322,0.0001275798,0.000001655469,0.0003008515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7463992,"threshold_uncertainty_score":0.6947865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1110465941792563,"score_gpt":0.3263452098637105,"score_spread":0.2152986156844542,"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."}}