{"id":"W2291805099","doi":"10.18438/b8ps5s","title":"Riding Into the Sunset","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sunset; Computer science; Astronomy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004571722,0.0007348343,0.001230255,0.001698093,0.00306652,0.00456402,0.002255226,0.004333516,0.2742719],"category_scores_gemma":[0.0250037,0.0003462989,0.001245421,0.001535637,0.001427464,0.004079605,0.005321498,0.005939836,0.1021972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039361,"about_ca_system_score_gemma":0.005956917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004241291,"about_ca_topic_score_gemma":0.007693205,"domain_scores_codex":[0.9961405,0.001008434,0.0004464355,0.0006254389,0.001391318,0.0003880107],"domain_scores_gemma":[0.9914516,0.001372275,0.0006149281,0.0008983772,0.003456898,0.002205866],"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":[0.0003695178,0.00005019122,0.0004070971,0.0009547994,0.00004417754,0.0001155919,0.0001607524,0.00006199922,0.0001784494,0.009852268,0.8914014,0.09640378],"study_design_scores_gemma":[0.00003102589,0.00007665079,0.0003930538,0.001061809,0.00003142906,0.00008143227,0.0002460775,0.00002480169,0.0001917359,0.002732791,0.995116,0.00001319519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003577259,0.05078476,0.003496147,0.2408643,0.2871653,0.0004653161,0.006568957,0.0007624691,0.4063155],"genre_scores_gemma":[0.02714277,0.02492473,0.001573363,0.05845814,0.01628495,0.0004069275,0.00331239,0.0003206375,0.8675762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2742719,"threshold_uncertainty_score":0.917531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262247559244892,"score_gpt":0.2758814776506828,"score_spread":0.2532590020582339,"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."}}