{"id":"W2004979375","doi":"10.1109/mm.2006.64","title":"Room for a Thousand Flowers to Bloom","year":2006,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Contrarian; Value (mathematics); Variety (cybernetics); Marketing; Industrial organization; Selection (genetic algorithm); Business; Economics; Computer science; Artificial intelligence; Finance","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":[0.0001231457,0.0001125808,0.0001059761,0.0001498345,0.0001411455,0.0002090688,0.0001120255,0.00005641176,0.00006341148],"category_scores_gemma":[0.00001375292,0.0001071321,0.00004293954,0.0004402324,0.00001209784,0.0004387134,0.00001721177,0.00004304949,0.0002471731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001288404,"about_ca_system_score_gemma":0.00001124374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003942831,"about_ca_topic_score_gemma":0.0001356215,"domain_scores_codex":[0.9993532,0.000001329433,0.0001714808,0.0001872211,0.00007260333,0.0002142082],"domain_scores_gemma":[0.9996236,0.00001100586,0.00006689289,0.0001199869,0.0001742439,0.000004276561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001415599,0.0001436504,0.003615899,0.0001827564,0.00001921192,0.000005125914,0.00001561538,0.0008491106,0.502376,0.02208353,0.4649532,0.005614373],"study_design_scores_gemma":[0.0009053487,0.00001181339,0.009379981,0.00004063834,0.0000397295,0.00000164318,0.00002885439,0.0006363206,0.03267846,0.005148486,0.9507775,0.0003511729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573726,0.00004570127,0.02040306,0.002674277,0.001277383,0.0004542344,0.000007706351,0.0001595564,0.01760546],"genre_scores_gemma":[0.9900432,5.796493e-7,0.001842353,0.003434725,0.002845062,0.00004391234,0.00005645745,0.00002836541,0.001705328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858243,"threshold_uncertainty_score":0.4368722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423634769376416,"score_gpt":0.2231937136050207,"score_spread":0.2089573659112566,"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."}}