{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00364868,0.0005145359,0.0003375738,0.002260906,0.003338473,0.008551548,0.0009732349,0.002531634,0.01383737],"category_scores_gemma":[0.007427568,0.0002562543,0.0008455455,0.001655599,0.005461193,0.008881385,0.01003725,0.001903524,0.00322414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166386,"about_ca_system_score_gemma":0.004036912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008953136,"about_ca_topic_score_gemma":0.001452466,"domain_scores_codex":[0.9959429,0.00190424,0.0001216425,0.0004829326,0.001126594,0.000421688],"domain_scores_gemma":[0.9959033,0.001989913,0.0005553774,0.0004790448,0.000424779,0.0006475495],"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":[0.00002892296,0.000231933,0.003765242,0.0004618881,0.00007338246,0.0005875736,0.01821243,0.002070529,0.002027451,0.7732602,0.01544581,0.1838346],"study_design_scores_gemma":[0.00004454836,0.0001370162,0.002700617,0.0006721104,0.00005474324,0.0004980516,0.01108926,0.004702833,0.001659031,0.5808419,0.3975558,0.00004410984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05652239,0.004634269,0.06470733,0.02404985,0.0007127434,0.0002373541,0.00008763671,0.0004505212,0.8485979],"genre_scores_gemma":[0.8868297,0.008082896,0.03928813,0.002609038,0.0006481668,0.0005136826,0.0001211863,0.0001537237,0.06175344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01383737,"threshold_uncertainty_score":0.04629058,"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."}}