{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005906344,0.0003316788,0.000356995,0.00003991168,0.0003050962,0.0003747578,0.002196471,0.0001494446,0.0008384367],"category_scores_gemma":[0.0004308479,0.0002490807,0.0001531076,0.0008904657,0.000138182,0.0003954852,0.001032372,0.000546566,0.001054488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597812,"about_ca_system_score_gemma":0.0003126427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003370463,"about_ca_topic_score_gemma":0.00001501895,"domain_scores_codex":[0.9967576,0.000196109,0.0005171433,0.001007129,0.0009348269,0.0005871675],"domain_scores_gemma":[0.9977999,0.0002495801,0.0002032516,0.001153755,0.0002173643,0.0003761772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002167956,0.0004458473,0.003990184,0.0004414508,0.0003926161,0.001027969,0.04012174,0.001949848,0.1397465,0.1660319,0.04566588,0.5980181],"study_design_scores_gemma":[0.003279746,0.001207354,0.01268118,0.000195348,0.000111718,0.0002410098,0.0005572198,0.7365292,0.1251231,0.005103718,0.1127146,0.002255786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4373351,0.001206786,0.4708723,0.07490225,0.001419357,0.001110347,0.00003202316,0.0008980934,0.01222375],"genre_scores_gemma":[0.9904486,0.00009128574,0.003578209,0.003015613,0.000322414,0.000003490895,0.000006069328,0.00002094188,0.002513368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7345794,"threshold_uncertainty_score":0.9999961,"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."}}