{"id":"W2619234421","doi":"10.16995/dm.42","title":"The Cantus Database: Mining for Medieval Chant Traditions","year":2012,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Historical and Archaeological Studies","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Upload; Similarity (geometry); Mosaic; History; World Wide Web; Archaeology; Artificial intelligence","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":[0.001181627,0.0007716189,0.0006004728,0.01846996,0.001225734,0.002637211,0.00170151,0.0006708328,0.01212724],"category_scores_gemma":[0.006746191,0.0002992826,0.0006132387,0.01927809,0.0004614994,0.002048801,0.002295468,0.0006804522,0.004866796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180098,"about_ca_system_score_gemma":0.003061837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01706187,"about_ca_topic_score_gemma":0.03100624,"domain_scores_codex":[0.9990078,0.0001392434,0.0002203251,0.0002425065,0.0003103279,0.00007985409],"domain_scores_gemma":[0.9973744,0.0006585047,0.0004421461,0.000481381,0.0007429782,0.0003004841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001063589,0.000379919,0.09474911,0.00529794,0.0002797281,0.002474554,0.009029645,0.002704611,0.0116193,0.01336716,0.3393292,0.5197052],"study_design_scores_gemma":[0.0001275732,0.0001478097,0.1630668,0.0008633132,0.0001586204,0.001439608,0.01091319,0.01248902,0.007188965,0.006270754,0.7971937,0.0001406038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.2081338,0.004882383,0.02842973,0.0007179639,0.0002091366,0.001331573,0.7221623,0.009467175,0.02466593],"genre_scores_gemma":[0.1430849,0.001903892,0.1148835,0.00008809788,0.00009740423,0.00156854,0.7305573,0.0008715073,0.006944841],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01846996,"threshold_uncertainty_score":0.04056972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325697075568341,"score_gpt":0.2584611584166063,"score_spread":0.1652041876609229,"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."}}