{"id":"W4236600090","doi":"10.1007/978-1-4939-7131-2_100013","title":"Affective Recommender Systems","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Recommender system; Computer science; Information retrieval","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":[0.0007122749,0.0008089003,0.0005385749,0.0007608728,0.0008120717,0.002495914,0.0009279171,0.00100781,0.03485239],"category_scores_gemma":[0.002272872,0.0003458945,0.0003620131,0.001192135,0.0004501831,0.002625334,0.001018662,0.001742004,0.02202729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921145,"about_ca_system_score_gemma":0.0004824693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009992,"about_ca_topic_score_gemma":0.002050464,"domain_scores_codex":[0.9996296,0.00009791073,0.00001728113,0.00007878205,0.0001491423,0.00002718667],"domain_scores_gemma":[0.9994743,0.0002142152,0.00001696783,0.00009251438,0.0001539169,0.00004809709],"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":[0.00003442567,0.00008295886,0.000179221,0.0004752929,0.00003592878,0.0000414874,0.000243041,0.001461845,0.002015216,0.1150772,0.21086,0.6694934],"study_design_scores_gemma":[0.00001351562,0.00005236753,0.0007224476,0.0002737621,0.00004404203,0.000267695,0.000168344,0.01215099,0.001463195,0.1172192,0.8675796,0.00004481758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005653895,0.05970938,0.3111704,0.006863082,0.00794042,0.0002088741,0.0005351119,0.002414646,0.6055041],"genre_scores_gemma":[0.078821,0.03761369,0.106232,0.002470403,0.003974773,0.000232324,0.001213961,0.0005451823,0.7688968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03485239,"threshold_uncertainty_score":0.1165928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269865259220453,"score_gpt":0.248413318900231,"score_spread":0.2157146663080264,"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."}}