{"id":"W2915495256","doi":"10.1145/3301275.3302313","title":"To explain or not to explain","year":2019,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"KU Leuven","keywords":"Recommender system; Computer science; Perception; Cognition; Domain (mathematical analysis); Black box; World Wide Web; Internet privacy; Psychology; 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":[0.007847201,0.0006242073,0.000336441,0.0007023381,0.001475325,0.002852487,0.001050975,0.003614045,0.01852679],"category_scores_gemma":[0.05684859,0.0002587963,0.0008080081,0.000469907,0.002056811,0.004659361,0.002129874,0.002356773,0.004575356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116982,"about_ca_system_score_gemma":0.002313117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003305629,"about_ca_topic_score_gemma":0.005132436,"domain_scores_codex":[0.9934754,0.00365791,0.0004157027,0.0005727041,0.001414216,0.0004641426],"domain_scores_gemma":[0.9594527,0.02502824,0.003830422,0.004916829,0.005260165,0.001511685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007164949,0.0007959373,0.0695439,0.004284853,0.0004701354,0.002136041,0.08485182,0.00333973,0.01379116,0.1408377,0.1666474,0.5125848],"study_design_scores_gemma":[0.0002116793,0.0005282898,0.02026703,0.002156305,0.0004377943,0.001672417,0.03360889,0.01040275,0.005827007,0.06868067,0.8559267,0.0002805105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3945704,0.009023807,0.2522972,0.1537376,0.006805751,0.001436596,0.002727448,0.004111549,0.1752897],"genre_scores_gemma":[0.8371868,0.003742011,0.09449922,0.01711928,0.0007759816,0.0004922862,0.001531456,0.0003537737,0.04429926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01852679,"threshold_uncertainty_score":0.06197828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331347116957286,"score_gpt":0.2936097470717878,"score_spread":0.2604750353760592,"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."}}