{"id":"W4211243395","doi":"10.1017/9781108571401.040","title":"Ranking","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ranking (information retrieval); Computer science; Artificial intelligence","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":[0.001863183,0.001791471,0.001231099,0.005381925,0.001290461,0.006347782,0.001922689,0.0008951657,0.5119694],"category_scores_gemma":[0.00900462,0.0004293759,0.001060207,0.006369972,0.0004058645,0.004294492,0.001634042,0.001420722,0.4750901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894797,"about_ca_system_score_gemma":0.002392114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005363467,"about_ca_topic_score_gemma":0.01009642,"domain_scores_codex":[0.9971354,0.0003341847,0.0001267514,0.0003987607,0.001692496,0.0003124843],"domain_scores_gemma":[0.9964227,0.0005786027,0.0001211827,0.0006538766,0.001865477,0.0003581296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006271864,0.00004155201,0.0004692258,0.0003007192,0.00001683427,0.00002383907,0.00003030724,0.0009850315,0.0005659384,0.01427201,0.7613285,0.2219034],"study_design_scores_gemma":[0.00001907754,0.00005554061,0.001431903,0.0001571726,0.00001833856,0.0001136407,0.0001298914,0.002538343,0.00126706,0.01530868,0.9789233,0.00003711918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003702761,0.003123497,0.05763432,0.003073808,0.002443455,0.0008430278,0.08612733,0.01701487,0.826037],"genre_scores_gemma":[0.02523508,0.004646859,0.03651048,0.0009990187,0.0007404575,0.0004361277,0.1052469,0.005830687,0.8203544],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5119694,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306862929319478,"score_gpt":0.3219735261461437,"score_spread":0.1912872332141958,"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."}}