{"id":"W3130833452","doi":"10.34894/7x9aua","title":"ISEBEL an Intelligent Search Engine for Belief Legends","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Globe; World Wide Web; Computer science; Database; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001507985,0.0006663195,0.0006902539,0.0003168555,0.0004544956,0.0008348514,0.01088921,0.0002779747,0.00002685382],"category_scores_gemma":[0.00002656273,0.0006076946,0.0001063774,0.0004184433,0.0001573327,0.001215488,0.005371619,0.0007654206,0.0001450514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004658104,"about_ca_system_score_gemma":0.0001542824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478031,"about_ca_topic_score_gemma":0.003615845,"domain_scores_codex":[0.9953255,0.0002815109,0.0007347894,0.002004089,0.0005975983,0.001056501],"domain_scores_gemma":[0.9929414,0.0008955614,0.0002695521,0.005402016,0.0001078736,0.0003836265],"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":[0.00009096222,0.0002793751,0.0001232256,0.001462742,0.0002152262,0.00003035795,0.003091767,0.008773254,0.00004671098,0.0005138215,0.815468,0.1699046],"study_design_scores_gemma":[0.00006186539,0.0001872173,0.00005362546,0.0002953276,0.00004902828,0.00001522033,0.0001839025,0.4858665,0.00006228307,0.000370843,0.5123785,0.0004757075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006147266,0.0007987333,0.1842764,0.0001561158,0.001319604,0.0006769783,0.8119655,0.0001457288,0.00004620683],"genre_scores_gemma":[0.001034347,0.001813774,0.01231788,0.0005020179,0.00122451,0.00005145786,0.9828221,0.00005784588,0.0001761068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4770933,"threshold_uncertainty_score":0.9996374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06935233893006697,"score_gpt":0.3319690484290163,"score_spread":0.2626167094989493,"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."}}