{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005409866,0.0001760111,0.0002164079,0.002305111,0.0003672033,0.0001982311,0.0002811851,0.0001382973,0.0002283572],"category_scores_gemma":[0.002565794,0.0001594711,0.00001266862,0.004038865,0.0006176537,0.0004541024,0.0001102116,0.0003392375,0.00002694642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000438483,"about_ca_system_score_gemma":0.000446178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001641847,"about_ca_topic_score_gemma":0.0001564722,"domain_scores_codex":[0.9986063,0.00001344057,0.0002735081,0.0004861557,0.0002754016,0.0003451405],"domain_scores_gemma":[0.9976409,0.0006588072,0.0001306808,0.0002050034,0.001343311,0.00002129928],"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":[0.00005044556,0.000137759,0.007065222,0.0000383965,0.00000767088,0.000001097488,0.0001422741,1.802244e-7,0.0002511562,0.9502739,0.005063963,0.03696788],"study_design_scores_gemma":[0.0001409233,0.00006787574,0.009900914,0.0001278415,0.00001115312,0.000005225111,0.0002084998,0.0005769423,0.0009490931,0.9852679,0.002561968,0.0001816284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07060094,0.0003129121,0.001972876,0.9096227,0.001147517,0.001105417,0.0000152712,0.0001600813,0.01506234],"genre_scores_gemma":[0.9951677,0.00005071163,0.001655323,0.000609571,0.00100778,0.0002474753,0.00007930383,0.000009909156,0.001172235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245667,"threshold_uncertainty_score":0.6503044,"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."}}