{"id":"W1504915269","doi":"10.1007/s11704-012-2014-1","title":"Composite recommendations: from items to packages","year":2012,"lang":"en","type":"article","venue":"Frontiers of Computer Science","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Computer science; Composite number; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003016575,0.001513356,0.00209103,0.004585211,0.001161797,0.003855678,0.002928302,0.00230246,0.00997381],"category_scores_gemma":[0.02279302,0.001725136,0.001997114,0.006013201,0.001177608,0.01049708,0.002407478,0.003018295,0.004716496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000906469,"about_ca_system_score_gemma":0.001582612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007759809,"about_ca_topic_score_gemma":0.01629166,"domain_scores_codex":[0.9957027,0.001485669,0.0002324382,0.001142715,0.001289594,0.0001468795],"domain_scores_gemma":[0.9891672,0.005155289,0.0003631232,0.002727692,0.002208728,0.0003779624],"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":[0.001002485,0.0006537433,0.0114284,0.0015277,0.000650874,0.0002503048,0.001221109,0.02304341,0.00524698,0.06702653,0.06863447,0.819314],"study_design_scores_gemma":[0.0002077837,0.0009025437,0.01053065,0.0005861286,0.001038967,0.001017096,0.0008444111,0.4367799,0.007233451,0.4518403,0.08867739,0.0003412771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02969795,0.003457296,0.9438983,0.002233912,0.000606773,0.000458264,0.005191868,0.004541272,0.00991436],"genre_scores_gemma":[0.1819582,0.002557612,0.7940478,0.000588503,0.000376198,0.0004211772,0.006223201,0.0005592671,0.01326802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00997381,"threshold_uncertainty_score":0.03336579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667471906926637,"score_gpt":0.2623792516157052,"score_spread":0.2457045325464389,"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."}}