{"id":"W4393600037","doi":"10.5281/zenodo.10318719","title":"Fantasy Diorama","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fantasy; Art; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002751044,0.002788426,0.0007035614,0.002475318,0.001100145,0.001748887,0.001689256,0.001689198,0.08709158],"category_scores_gemma":[0.001721792,0.00051032,0.001413961,0.002738029,0.0003823872,0.001748748,0.002003449,0.001763912,0.08812093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502243,"about_ca_system_score_gemma":0.001029699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03636091,"about_ca_topic_score_gemma":0.1460785,"domain_scores_codex":[0.9996345,0.00005499968,0.00002486617,0.00009994399,0.0001014141,0.00008426086],"domain_scores_gemma":[0.9995383,0.0001104585,0.00004591112,0.0001022832,0.0001028935,0.0001001853],"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":[0.0001278504,0.00005141858,0.001266774,0.0007601344,0.00002366506,0.00008790254,0.0001671285,0.0002134117,0.0002881488,0.001261837,0.9876216,0.008130107],"study_design_scores_gemma":[0.00008451486,0.00003134565,0.006364249,0.0002106137,0.00002029971,0.0002331021,0.0004437129,0.0008410569,0.0006852495,0.001135947,0.9899201,0.00002977885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003107832,0.0005233425,0.0004228009,0.0001890548,0.0001710405,0.00009476856,0.9791272,0.001523544,0.01484049],"genre_scores_gemma":[0.005047843,0.0002250753,0.001430566,0.00009358529,0.00001982746,0.0002016946,0.9807619,0.0002814087,0.01193795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08709158,"threshold_uncertainty_score":0.2913504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04098833342608862,"score_gpt":0.2886098675280593,"score_spread":0.2476215341019707,"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."}}