{"id":"W2497362252","doi":"10.1002/9781119205272.ch8","title":"Leveraging Social Collaboration to Drive Innovation","year":2012,"lang":"en","type":"other","venue":"","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Social media; Quarter (Canadian coin); Social innovation; Business; Public relations; Competitive advantage; The Internet; Social enterprise; Marketing; Knowledge management; Political science; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003257397,0.00008461402,0.0001007833,0.0003805318,0.0002579859,0.0001209986,0.0001255358,0.0001380961,0.007695936],"category_scores_gemma":[0.00003775421,0.00009112701,0.00001566686,0.001064202,0.00002497074,0.00009442058,0.00005244682,0.00005490788,0.001022585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104028,"about_ca_system_score_gemma":0.00005968712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006089456,"about_ca_topic_score_gemma":0.004660736,"domain_scores_codex":[0.9993007,0.00004387788,0.0001028447,0.0001349668,0.0002194851,0.0001981792],"domain_scores_gemma":[0.9997367,0.000005702766,0.00008052543,0.00005826684,0.0000896222,0.0000291564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[5.380055e-7,0.0000062725,0.0001753667,0.000005681807,0.000007377121,1.165592e-7,0.01068813,6.006351e-8,0.000004144319,0.2184649,0.7578607,0.01278664],"study_design_scores_gemma":[0.00004760073,0.000001829912,0.00008289878,0.00001420804,0.000008467657,4.806694e-9,0.004169161,0.000001446369,0.000003630909,0.0002515918,0.9952937,0.0001254893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006402957,0.00002997734,0.001902007,0.001430609,0.0008615761,0.0003364169,0.000001536608,0.0002456605,0.9951282],"genre_scores_gemma":[0.01280242,0.000005670968,0.0005043834,0.000275952,0.002589416,0.00001812894,0.00002477585,0.00007367336,0.9837056],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2374329,"threshold_uncertainty_score":0.9997553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707348599484663,"score_gpt":0.3465881279765477,"score_spread":0.2995146419817011,"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."}}