{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00628574,0.001841992,0.001097251,0.002453057,0.001140182,0.002525847,0.001774544,0.001884725,0.01179937],"category_scores_gemma":[0.01603444,0.0003853653,0.0008702049,0.001245026,0.0004691122,0.002720148,0.001973068,0.00228643,0.008495258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550698,"about_ca_system_score_gemma":0.001958255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008469019,"about_ca_topic_score_gemma":0.01780066,"domain_scores_codex":[0.9962413,0.001747274,0.000264649,0.0005614861,0.000970924,0.000214432],"domain_scores_gemma":[0.9903849,0.002938187,0.0004960323,0.001159766,0.004093028,0.0009280529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007900423,0.0004504893,0.001154829,0.001691869,0.0001904149,0.0002447556,0.0009326867,0.006857657,0.04411984,0.002203325,0.6724333,0.2689309],"study_design_scores_gemma":[0.0009184164,0.002461713,0.01392658,0.0003791598,0.0003282008,0.0006366537,0.001930336,0.1575917,0.08545105,0.01047156,0.7255777,0.0003270156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09852849,0.009335737,0.5246688,0.01045519,0.01283079,0.008292456,0.1729918,0.1129565,0.04994028],"genre_scores_gemma":[0.1741403,0.001882046,0.3697057,0.001489445,0.002365349,0.002945355,0.372997,0.004139656,0.07033512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01179937,"threshold_uncertainty_score":0.03947282,"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."}}