{"id":"W4400106827","doi":"10.1145/3631700.3658521","title":"Collaborative Team Recommendation for Skilled Users: Objectives, Techniques, and New Perspectives","year":2024,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Universitas Brawijaya","keywords":"Computer science; Recommender system; Knowledge management; Human–computer interaction; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003677571,0.00016575,0.0001884784,0.0002114668,0.0001174605,0.0005841992,0.0002323027,0.00008320414,0.00002074619],"category_scores_gemma":[0.00003110835,0.0001339635,0.00005429626,0.0004690357,0.00002542285,0.0009996587,0.0001191765,0.0001006636,0.000003863659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202976,"about_ca_system_score_gemma":0.0001693015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001466962,"about_ca_topic_score_gemma":0.0000412245,"domain_scores_codex":[0.9989163,0.00006318176,0.0002070017,0.0005409284,0.00008800889,0.0001845227],"domain_scores_gemma":[0.9993084,0.0001994611,0.00004875653,0.0002277006,0.0001296005,0.00008605392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007994366,0.00003359497,0.00002388559,0.00004011055,0.00006120332,0.000002190516,0.005448777,6.254054e-8,0.0002526648,0.4770369,0.1985385,0.3185541],"study_design_scores_gemma":[0.0003198313,0.0004951681,0.00004407896,0.0001223267,0.00001135541,0.0000533553,0.002912603,0.005900464,0.01803774,0.03454478,0.9372047,0.0003535613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006872461,0.00154443,0.9502569,0.006945996,0.0002686702,0.001076131,0.00001218184,0.00165942,0.0381675],"genre_scores_gemma":[0.1120359,0.0009737888,0.8783271,0.0002445326,0.0004457135,0.0005041831,0.00001694544,0.000040813,0.007410978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7386662,"threshold_uncertainty_score":0.5633446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155440968450535,"score_gpt":0.2966108149247274,"score_spread":0.2810667180796739,"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."}}