{"id":"W9856233","doi":"","title":"Prediction Markets as Web 2.0 Tools for Enterprise 2.0","year":2011,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Software deployment; Framing (construction); Proxy (statistics); Prediction market; Context (archaeology); Knowledge management; Data science; Business; Finance; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004461846,0.0001541345,0.0003112437,0.0002685853,0.0001096148,0.0002801472,0.0001923526,0.00008371632,0.0006961877],"category_scores_gemma":[0.00008669133,0.0001582606,0.00009505342,0.000162142,0.00004359549,0.001653118,0.00002037384,0.00008834984,0.002034455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006347561,"about_ca_system_score_gemma":0.00004341507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002443114,"about_ca_topic_score_gemma":0.000001279714,"domain_scores_codex":[0.9986262,0.0000073165,0.0008804491,0.0001800858,0.0000692632,0.0002366278],"domain_scores_gemma":[0.9986906,0.00003584259,0.0007259487,0.0003176454,0.0001376678,0.00009226479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002093531,0.00008745056,0.01786618,0.0001230595,0.00009259641,0.000001026812,0.003248238,0.0001771925,0.000004765498,0.9570475,0.007702457,0.01344016],"study_design_scores_gemma":[0.0009214613,0.0005173607,0.01831652,0.0000977545,0.00001123309,0.00001438465,0.001745083,0.2310183,0.00003574425,0.001819473,0.7450588,0.000443884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1054663,0.0001236005,0.0504249,0.0001655357,0.002290768,0.001167294,0.0009663097,0.0001568453,0.8392385],"genre_scores_gemma":[0.9978053,0.0002736565,0.0001488607,0.000390753,0.00007966863,0.0002044014,0.0001216207,0.00001085082,0.0009648731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.955228,"threshold_uncertainty_score":0.9987426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013379936398058,"score_gpt":0.2443965245915986,"score_spread":0.1430585309517927,"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."}}