{"id":"W2248300774","doi":"10.1007/978-3-642-33284-5_12","title":"Using Collective Trust for Group Formation","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Access Control and Trust","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Task (project management); Group (periodic table); Heuristic; Human–computer interaction; Artificial intelligence; Management","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":[0.001752668,0.00042934,0.0004579712,0.0005431463,0.001162484,0.003194939,0.0009747206,0.00145235,0.01128305],"category_scores_gemma":[0.009341321,0.0003661762,0.0007318168,0.0007688269,0.00259353,0.007110311,0.002541937,0.001976095,0.001731719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009084368,"about_ca_system_score_gemma":0.0005602703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009591134,"about_ca_topic_score_gemma":0.001161052,"domain_scores_codex":[0.9987633,0.0005986353,0.00006506591,0.0001723159,0.0003002991,0.0001004046],"domain_scores_gemma":[0.9956946,0.002382599,0.0002766984,0.00121764,0.0002867388,0.0001417112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003362786,0.00003874794,0.000532817,0.0001191242,0.00004484085,0.000131939,0.001622919,0.005999482,0.001368427,0.908759,0.004638455,0.0767106],"study_design_scores_gemma":[0.00001253889,0.0000454784,0.0004287124,0.00005732005,0.00002950026,0.0002047132,0.0004925526,0.04593412,0.001456663,0.9311101,0.0202025,0.00002576884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03684471,0.001675381,0.7979794,0.002914254,0.000486217,0.00009091151,0.0001024471,0.000362905,0.1595439],"genre_scores_gemma":[0.851312,0.0008824676,0.1038097,0.0001639399,0.000205383,0.0001422493,0.00009135961,0.0001241729,0.04326864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01128305,"threshold_uncertainty_score":0.03774554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04922797823136423,"score_gpt":0.3104544306505677,"score_spread":0.2612264524192034,"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."}}