{"id":"W3164389416","doi":"","title":"A Theory of Digital Firm-Designed Markets: Defying Knowledge Constraints with Crowds and Marketplaces","year":2019,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; York University","funders":"","keywords":"Crowdsourcing; Crowds; Argument (complex analysis); Order (exchange); Perspective (graphical); Business; Industrial organization; Ambidexterity; Theory of the firm; Knowledge management; Microeconomics; Computer science; Economics; Artificial intelligence","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":[0.004998216,0.0007066345,0.001136964,0.00209926,0.002419038,0.006175889,0.002144318,0.003327484,0.01125675],"category_scores_gemma":[0.01180661,0.0005383306,0.001660682,0.002311139,0.01445339,0.01297082,0.003477443,0.002243496,0.0007484162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003642199,"about_ca_system_score_gemma":0.00279534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964012,"about_ca_topic_score_gemma":0.001788424,"domain_scores_codex":[0.9964902,0.001626075,0.0001524354,0.0006796349,0.000688527,0.000363201],"domain_scores_gemma":[0.9883589,0.007027273,0.001791272,0.001723579,0.0006603568,0.0004385876],"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":[0.000006224667,0.00001176379,0.0001356278,0.00004791509,0.0000101096,0.00003096438,0.00008354843,0.005227936,0.00007368183,0.9909067,0.0002699478,0.00319549],"study_design_scores_gemma":[0.00002599607,0.00002415811,0.0001492163,0.00004302179,0.00001060255,0.00003508441,0.0001004502,0.01544632,0.0001275899,0.9787828,0.005243675,0.00001097576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07316869,0.003191895,0.7572225,0.01012732,0.0002162149,0.0002637507,0.0002435274,0.0001662001,0.1553999],"genre_scores_gemma":[0.8940555,0.001788324,0.09068698,0.0009947913,0.0002424685,0.0004431865,0.00008403198,0.00004374982,0.01166103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01125675,"threshold_uncertainty_score":0.03765762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135908600493913,"score_gpt":0.3198765639565814,"score_spread":0.2785174779516423,"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."}}