{"id":"W1488080164","doi":"","title":"Mining Collective Intelligence for Creativity and Innovation: A Research proposal","year":2009,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Creativity; Collective intelligence; Knowledge management; Data science; Business; Computer science; Psychology; Social psychology","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":[0.006671977,0.0008663074,0.001280289,0.006123759,0.001956058,0.008804577,0.002466501,0.00183846,0.003645887],"category_scores_gemma":[0.02578343,0.00060423,0.002839114,0.008098486,0.00237475,0.01272501,0.002707765,0.002230293,0.00117679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022877,"about_ca_system_score_gemma":0.00210487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710097,"about_ca_topic_score_gemma":0.001738101,"domain_scores_codex":[0.9964126,0.001004827,0.0002865714,0.001260696,0.0007707815,0.0002644868],"domain_scores_gemma":[0.9719068,0.01817226,0.001849664,0.004102967,0.003102823,0.0008654912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000657577,0.001848647,0.1327679,0.0009950534,0.0008994245,0.0005265886,0.003131191,0.01272977,0.003472452,0.1326276,0.008138412,0.7022053],"study_design_scores_gemma":[0.0001703772,0.0006211721,0.0540561,0.0005499932,0.0004835765,0.0009398594,0.006241254,0.3353108,0.00670444,0.5688729,0.02587518,0.0001742948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4011526,0.01033844,0.5256543,0.02828913,0.0007835956,0.001258388,0.002258896,0.00114561,0.02911905],"genre_scores_gemma":[0.7898192,0.002928083,0.1975752,0.0004907988,0.0008537403,0.0004442105,0.001844946,0.00009017695,0.005953609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008804577,"threshold_uncertainty_score":0.03528523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1984782019702661,"score_gpt":0.3883848602726345,"score_spread":0.1899066583023684,"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."}}