{"id":"W4239164160","doi":"10.1007/978-1-4939-7131-2_100984","title":"Relevance Ranking","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Relevance (law); Ranking (information retrieval); Computer science; Information retrieval; Political science","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":[0.001059634,0.001282893,0.0009120591,0.003281116,0.000802503,0.003072236,0.001255428,0.0009541197,0.08041413],"category_scores_gemma":[0.004699249,0.0004207373,0.0007495446,0.00310793,0.0004819659,0.003327137,0.001413785,0.001482469,0.06328997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009611544,"about_ca_system_score_gemma":0.001101455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143169,"about_ca_topic_score_gemma":0.002742731,"domain_scores_codex":[0.9986727,0.0002016776,0.00006718673,0.0002955898,0.0006926273,0.00007025868],"domain_scores_gemma":[0.9989844,0.0002905969,0.00002805419,0.0002444888,0.0003921978,0.00006020438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000384553,0.00005623555,0.0001112533,0.0002686232,0.00001985794,0.00003470239,0.00003547164,0.001264674,0.002624476,0.02466574,0.2911554,0.6797252],"study_design_scores_gemma":[0.00002051435,0.00006303991,0.0009004478,0.0001933996,0.00004421268,0.0006266393,0.00006627899,0.01854909,0.005443211,0.1171298,0.8568998,0.00006350932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005221088,0.02284444,0.5358341,0.003671561,0.004074873,0.0004480335,0.003739116,0.01109488,0.4130719],"genre_scores_gemma":[0.06706178,0.01350035,0.2742324,0.001314615,0.003143379,0.0002508103,0.01118103,0.002707224,0.6266084],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08041413,"threshold_uncertainty_score":0.2690121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372800606834452,"score_gpt":0.2438033834616982,"score_spread":0.2100753773933537,"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."}}