{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007556039,0.001507164,0.0008697987,0.003109561,0.001007275,0.001267552,0.001671501,0.002247638,0.00616009],"category_scores_gemma":[0.004270012,0.0003579181,0.000926647,0.00286763,0.0007382125,0.001281439,0.00165446,0.001579386,0.007854075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009751236,"about_ca_system_score_gemma":0.001142796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02738553,"about_ca_topic_score_gemma":0.09564571,"domain_scores_codex":[0.9986766,0.0002561871,0.0001415469,0.0003595254,0.0004086244,0.0001575309],"domain_scores_gemma":[0.9976071,0.0005960389,0.000254314,0.0004343353,0.0006891931,0.0004191085],"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":[0.001320589,0.001548128,0.06086444,0.002086552,0.0003102462,0.00117872,0.001821116,0.004728851,0.005502316,0.003014652,0.8315012,0.08612321],"study_design_scores_gemma":[0.0004291968,0.0005675441,0.2901968,0.000961143,0.0001506459,0.001615662,0.004121789,0.02946938,0.00738544,0.005314726,0.6594464,0.0003413521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1054426,0.001350207,0.006474774,0.0007718022,0.000423751,0.0004965013,0.8682665,0.004159282,0.01261461],"genre_scores_gemma":[0.06045254,0.0003278304,0.01133477,0.0002356296,0.00006577922,0.0005706063,0.9218084,0.0002788934,0.004925593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02738553,"threshold_uncertainty_score":0.05445224,"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."}}