{"id":"W6927321208","doi":"10.25949/21343314","title":"The new gatekeepers: searching for bias in Spotify's curated playlists","year":2022,"lang":"en","type":"dissertation","venue":"Macquarie University","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Ask price; Rank (graph theory); Feature (linguistics); Focus (optics); Outcome (game theory); Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04771972,0.000544705,0.00166161,0.001300516,0.001645626,0.004262823,0.003319264,0.001760723,0.01356104],"category_scores_gemma":[0.1443089,0.0003879668,0.001972404,0.002031779,0.003256912,0.002752212,0.002560989,0.003309924,0.001941892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915261,"about_ca_system_score_gemma":0.001508116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04779804,"about_ca_topic_score_gemma":0.04303445,"domain_scores_codex":[0.9757599,0.01481448,0.001078796,0.004189784,0.002452972,0.001704092],"domain_scores_gemma":[0.7651384,0.1712306,0.0380395,0.01547608,0.006825046,0.003290329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002214893,0.0004730742,0.9244109,0.00032379,0.001637788,0.0004538957,0.00567228,0.005912309,0.0005881749,0.02012378,0.01042148,0.02776767],"study_design_scores_gemma":[0.001751301,0.002065283,0.7629227,0.0006745124,0.002652238,0.0003742887,0.01623301,0.1088479,0.004565777,0.05775417,0.04187042,0.0002884222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722242,0.001323945,0.01410516,0.003382999,0.000202489,0.0002122554,0.00189907,0.0001310918,0.006518768],"genre_scores_gemma":[0.9936076,0.0001125837,0.002148679,0.0005174711,0.00009054011,0.0001134205,0.0006923185,0.00005480715,0.002662604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04779804,"threshold_uncertainty_score":0.252369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558140904941415,"score_gpt":0.3065388403603698,"score_spread":0.2709574313109556,"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."}}