{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009490105,0.002106599,0.0009151289,0.005972756,0.0006967411,0.001720169,0.002321139,0.001840314,0.02406675],"category_scores_gemma":[0.006226852,0.0003654149,0.001222899,0.004123312,0.0003293875,0.001894464,0.001747404,0.001237725,0.02452223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296138,"about_ca_system_score_gemma":0.001692638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03001526,"about_ca_topic_score_gemma":0.07878796,"domain_scores_codex":[0.9993045,0.0001377126,0.00009514436,0.0001986971,0.0001652612,0.00009869295],"domain_scores_gemma":[0.9983363,0.0005891557,0.0001202892,0.0003882989,0.0004194566,0.0001464946],"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":[0.0009895616,0.0002554813,0.006710082,0.002374178,0.0001604382,0.0001959365,0.0001476862,0.004172785,0.001234302,0.002611817,0.927027,0.05412085],"study_design_scores_gemma":[0.001365869,0.000401991,0.02439681,0.001041505,0.0003159259,0.0007200322,0.001038401,0.08998823,0.006816004,0.01174951,0.8619986,0.0001671861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01395678,0.002084042,0.003035426,0.00054398,0.0003662617,0.0002052578,0.9565526,0.0144712,0.008784309],"genre_scores_gemma":[0.0128863,0.0002880597,0.005582726,0.0001142773,0.00003012787,0.0001215842,0.9784816,0.0001863143,0.002308999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03001526,"threshold_uncertainty_score":0.08051127,"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."}}