{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367415,0.0006494307,0.000363355,0.001744754,0.000405258,0.00308719,0.00110785,0.001227835,0.009842061],"category_scores_gemma":[0.007533118,0.0003919702,0.0005391316,0.001877408,0.0004140247,0.005672309,0.001835955,0.001147604,0.003111282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995181,"about_ca_system_score_gemma":0.0006770958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003056556,"about_ca_topic_score_gemma":0.003529733,"domain_scores_codex":[0.9990867,0.0003588169,0.00005429831,0.00009051907,0.0003148898,0.00009470354],"domain_scores_gemma":[0.9974036,0.00128698,0.0002463423,0.000451935,0.0003258946,0.0002852897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002242913,0.0006852414,0.04468585,0.0008005617,0.0002646637,0.004892781,0.0009106805,0.03232468,0.00794268,0.1787042,0.1957928,0.530753],"study_design_scores_gemma":[0.0001799675,0.0002974162,0.01517874,0.0002971686,0.0001279752,0.002362354,0.0006231784,0.5201716,0.00856807,0.2215211,0.2305196,0.0001528411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2939208,0.01002176,0.433456,0.02383541,0.001852183,0.0009788946,0.01668421,0.09668767,0.1225632],"genre_scores_gemma":[0.8062731,0.002191887,0.1576676,0.001363519,0.0004059199,0.0001777391,0.01001446,0.001660107,0.02024571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009842061,"threshold_uncertainty_score":0.03292501,"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."}}