{"id":"W3176527752","doi":"","title":"Spotify at the TREC 2020 Podcasts Track: Segment Retrieval.","year":2020,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Track (disk drive); Computer science; Information retrieval; World Wide Web; Operating system","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":[0.004697726,0.002605902,0.002200182,0.003562521,0.002617128,0.005394547,0.002425323,0.002778831,0.09111392],"category_scores_gemma":[0.007243303,0.0005641526,0.0009149056,0.003332645,0.0006609594,0.005216287,0.002577624,0.003158809,0.06771435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197122,"about_ca_system_score_gemma":0.004630622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06878214,"about_ca_topic_score_gemma":0.1561614,"domain_scores_codex":[0.997855,0.0004774475,0.00008110065,0.0003148188,0.0009207783,0.0003507822],"domain_scores_gemma":[0.9924774,0.001319226,0.0001812041,0.0008428376,0.003345078,0.001834272],"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":[0.000142837,0.00007740664,0.0001454623,0.0001433739,0.00001658794,0.0000214668,0.00003571178,0.0001781407,0.00272046,0.0002875172,0.9815672,0.0146638],"study_design_scores_gemma":[0.0006848253,0.0008269942,0.007826312,0.0001754328,0.0001547846,0.0001969124,0.0006182693,0.01722401,0.02102565,0.00445498,0.9466633,0.0001485302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03491908,0.0153802,0.07520244,0.0288929,0.03860525,0.003982918,0.5637702,0.09874078,0.1405062],"genre_scores_gemma":[0.03192368,0.002551854,0.04111877,0.00356169,0.005238068,0.0009285126,0.675215,0.005684714,0.2337777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09111392,"threshold_uncertainty_score":0.3048065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05451127183627481,"score_gpt":0.2668095807724929,"score_spread":0.2122983089362181,"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."}}