{"id":"W2401064360","doi":"10.5281/zenodo.1417003","title":"Are Poetry And Lyrics All That Different?","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lyrics; Poetry; Newspaper; Set (abstract data type); Literature; Linguistics; Computer science; Natural language processing; Art; Artificial intelligence; Philosophy; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003613562,0.0001025548,0.0001064179,0.0001164625,0.0007514578,0.0009046603,0.001133459,0.00004357547,0.0004305225],"category_scores_gemma":[0.0002801044,0.00009815017,0.00002338306,0.000173422,0.00005414831,0.0002893975,0.001762473,0.0001641156,0.0009017166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004287429,"about_ca_system_score_gemma":7.230031e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003666593,"about_ca_topic_score_gemma":1.734357e-7,"domain_scores_codex":[0.9987554,0.0001970938,0.0001224715,0.0003841174,0.0002796402,0.0002613094],"domain_scores_gemma":[0.9990621,0.00002635125,0.0000907672,0.0005368715,0.0001332095,0.0001506807],"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":[0.00002104674,0.000203079,0.0005027867,0.0001652085,0.0000630623,0.00002720202,0.003184828,0.000155765,0.003094433,0.1641404,0.09993135,0.7285109],"study_design_scores_gemma":[0.000379324,0.00008236449,0.006919206,0.00002572386,0.000005646063,0.00007622037,0.00009026752,0.04352908,0.0003421602,0.002074786,0.9462706,0.0002046484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1161548,0.0001031598,0.8349763,0.002817523,0.0002059861,0.0002418772,0.00001512537,0.001356663,0.04412868],"genre_scores_gemma":[0.9967038,0.00003316106,0.001868459,0.0005308496,0.00008706043,1.097534e-8,0.00003909904,0.0003320293,0.0004055271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8805491,"threshold_uncertainty_score":0.9998762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05816569313429183,"score_gpt":0.2395227454026052,"score_spread":0.1813570522683134,"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."}}