{"id":"W7025387184","doi":"","title":"The World’s Best Typography: The 65th Annual Exhibition of the Type Directors Club (USA)","year":2019,"lang":"en","type":"other","venue":"Document Server@UHasselt (UHasselt)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Typography; Club; Type (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001740761,0.0008716438,0.0008237337,0.003983475,0.003119953,0.008442445,0.0007205702,0.001113921,0.4646718],"category_scores_gemma":[0.003457609,0.0005521238,0.0006726371,0.005954015,0.0007747414,0.003889184,0.002843317,0.001443838,0.2019822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002531592,"about_ca_system_score_gemma":0.002957035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01617924,"about_ca_topic_score_gemma":0.04249058,"domain_scores_codex":[0.999104,0.000154073,0.00004174698,0.00009604211,0.0004540826,0.0001499409],"domain_scores_gemma":[0.9979106,0.0002063597,0.0001059421,0.0002929281,0.000760847,0.0007232341],"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":[0.00001018594,0.00000697518,0.0001110611,0.00003642606,0.000001397185,0.00001353359,0.00004670299,0.00003580453,0.00006705755,0.001076948,0.982946,0.01564783],"study_design_scores_gemma":[0.000002592936,0.00000533312,0.001025058,0.00007848691,0.000001132588,0.00002076394,0.0002386059,0.00004738567,0.00006540326,0.0005859793,0.9979221,0.000007115558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002052539,0.003639953,0.003028597,0.006008649,0.01653356,0.0002839342,0.01738317,0.001907349,0.9491623],"genre_scores_gemma":[0.005263405,0.001586137,0.001886034,0.0004064507,0.001256874,0.0002131564,0.006156004,0.001915649,0.9813163],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4646718,"threshold_uncertainty_score":0.7635807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212962003630637,"score_gpt":0.2761208074421951,"score_spread":0.2639911874058887,"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."}}