{"id":"W3173145038","doi":"","title":"Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization.","year":2020,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Automatic summarization; Computer science; Information retrieval; Baseline (sea); Natural language processing; Task (project management); Key (lock); Granularity; Artificial intelligence; Aggregate (composite); World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001824175,0.000281377,0.0002904861,0.00006810493,0.0002049648,0.0003641372,0.001521243,0.00018355,0.0004480553],"category_scores_gemma":[0.000399877,0.0002585588,0.00008244612,0.000921272,0.0001032283,0.0008024022,0.0007458455,0.0004621637,0.0004013476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451714,"about_ca_system_score_gemma":0.0002522674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003426347,"about_ca_topic_score_gemma":0.000008073048,"domain_scores_codex":[0.9978932,0.00008156053,0.0003336892,0.000764023,0.000538328,0.0003891982],"domain_scores_gemma":[0.9984562,0.0001355723,0.0002290083,0.0005110022,0.0003966926,0.0002715358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001350775,0.0004288708,0.0075227,0.0007104662,0.0002591722,0.001962007,0.0223314,0.00007826212,0.1632043,0.3076674,0.03839688,0.4560878],"study_design_scores_gemma":[0.002639315,0.001566036,0.01550117,0.0005064323,0.0001214565,0.0003688715,0.0005458987,0.3063624,0.6065407,0.03368661,0.02787075,0.004290371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03238052,0.001770994,0.9431062,0.01139763,0.0004111,0.0006779219,0.00006856304,0.002753495,0.007433595],"genre_scores_gemma":[0.9609354,0.00004705551,0.03656117,0.001141404,0.0001317108,0.000004930707,0.00003112483,0.00002099967,0.001126259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9285548,"threshold_uncertainty_score":0.9999866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991348015786009,"score_gpt":0.2693793922175298,"score_spread":0.2394659120596697,"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."}}