{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003229012,0.001069875,0.0009196487,0.001345181,0.00684418,0.01271816,0.001424488,0.005878697,0.1977263],"category_scores_gemma":[0.01256702,0.000500883,0.0009073975,0.0008817036,0.004902043,0.01570086,0.008107158,0.01229733,0.07954341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004174183,"about_ca_system_score_gemma":0.005116185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005102011,"about_ca_topic_score_gemma":0.01166359,"domain_scores_codex":[0.9981285,0.0004796392,0.00006056171,0.0003654403,0.0005988633,0.0003670251],"domain_scores_gemma":[0.9952155,0.0007531483,0.0001422866,0.0005336958,0.001327414,0.002027897],"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":[0.00002850168,0.00002307883,0.0001256322,0.0000416297,0.000004070813,0.00006644893,0.000251058,0.00002948974,0.0001609618,0.03638469,0.9376597,0.02522486],"study_design_scores_gemma":[0.000004439089,0.00000932868,0.00008944023,0.00007767286,0.00000128471,0.00003854083,0.0005082258,0.00002333455,0.00004838698,0.01041579,0.9887772,0.000006274817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001488018,0.02490698,0.002114154,0.6707892,0.0967757,0.00006575238,0.0004289015,0.0007044893,0.2027268],"genre_scores_gemma":[0.01736122,0.01264549,0.003207729,0.1502707,0.01661344,0.00007396386,0.0003384383,0.0006262704,0.7988628],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1977263,"threshold_uncertainty_score":0.6614603,"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."}}