{"id":"W1484657937","doi":"10.1108/03055721211227273","title":"Value co‐creation through collective intelligence in the public sector","year":2012,"lang":"en","type":"article","venue":"VINE","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Collective intelligence; Originality; Public sector; Public relations; Private sector; Open innovation; Value (mathematics); Knowledge management; Business; Marketing; Economics; Political science; Creativity; Computer science; Economic growth","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":[0.007638626,0.0002516168,0.0003126146,0.0036736,0.003756773,0.01636428,0.0008002971,0.001931751,0.003334272],"category_scores_gemma":[0.007911924,0.0001604669,0.0004557914,0.004239429,0.01697767,0.009536239,0.006515841,0.001769741,0.0003501329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00693692,"about_ca_system_score_gemma":0.007522035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997275,"about_ca_topic_score_gemma":0.002537923,"domain_scores_codex":[0.9941903,0.003339513,0.0001277252,0.000365804,0.001196044,0.0007805129],"domain_scores_gemma":[0.9886519,0.006647103,0.001793737,0.001131163,0.0009504792,0.0008254506],"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":[0.0000308973,0.00009893776,0.007659933,0.0002193525,0.00002926751,0.0004792073,0.01353986,0.001221598,0.0004938389,0.894282,0.002916531,0.07902872],"study_design_scores_gemma":[0.00001906916,0.0001198874,0.01327254,0.00127415,0.000049982,0.0005696155,0.07164042,0.004095716,0.001456924,0.7042009,0.2032433,0.00005758931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3481762,0.00846132,0.04459219,0.03728381,0.000500311,0.0002193203,0.00008844397,0.0001707982,0.5605075],"genre_scores_gemma":[0.9927365,0.001178136,0.002403413,0.0004903044,0.00007252576,0.00003113492,0.00001566647,0.0000111897,0.003061171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01636428,"threshold_uncertainty_score":0.05033112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05410754900300836,"score_gpt":0.2954397145892397,"score_spread":0.2413321655862313,"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."}}