{"id":"W2767052156","doi":"10.5465/ambpp.2016.14859abstract","title":"Scaling up Socially-Oriented Markets:Tipping Point Dynamics in Coupled Supply and Demand Diffusion","year":2016,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tipping point (physics); Supply and demand; Industrial organization; Mainstream; Consumption (sociology); Profitability index; Business; Industrialisation; Process (computing); Economics; Microeconomics; Market economy; Computer science; Engineering","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":[0.004780681,0.0002050825,0.000361853,0.0008865877,0.0001939208,0.0001152137,0.0004696244,0.0001592547,0.0001862339],"category_scores_gemma":[0.001312676,0.0001417871,0.00006518592,0.001275169,0.0001781134,0.0007274857,0.0006579348,0.0001858178,0.00001587833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444226,"about_ca_system_score_gemma":0.00001193061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000567211,"about_ca_topic_score_gemma":0.000002870088,"domain_scores_codex":[0.9966595,0.00002938838,0.001141857,0.0006072693,0.001168838,0.0003932066],"domain_scores_gemma":[0.9986304,0.0003793587,0.0006115527,0.00008348234,0.0002081654,0.00008701776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000289522,0.00009401036,0.1612587,0.0001381125,0.00003914273,0.000003383907,0.001206644,0.000001586254,0.007028278,0.3612616,0.003469351,0.4652097],"study_design_scores_gemma":[0.008702522,0.00009038408,0.717988,0.001920381,0.00006817686,0.00001771295,0.01893501,0.1059156,0.002146728,0.1229174,0.02029849,0.0009995588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759112,0.00003776011,0.006022978,0.008527952,0.0001392436,0.0004330356,0.000004178224,0.00005062145,0.008873018],"genre_scores_gemma":[0.9934334,0.0002213965,0.002091162,0.0005734833,0.00005185605,0.00001686189,0.000001475457,0.00001757952,0.003592766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5567293,"threshold_uncertainty_score":0.5781911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560486333356199,"score_gpt":0.3133393667507477,"score_spread":0.2777345034171858,"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."}}