{"id":"W2237750968","doi":"","title":"Two Perspectives on Multiskilling and Product Market Volatility","year":2010,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Volatility (finance); Product market; Product (mathematics); Flexibility (engineering); Econometrics; Economics; Industrial organization; Business; Microeconomics; Mathematics; Management","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009256448,0.0004938398,0.001098628,0.0007224008,0.0004689812,0.00006032109,0.001015819,0.0002398539,0.003304574],"category_scores_gemma":[0.0003154817,0.0006641115,0.0006367327,0.000220532,0.0007831792,0.0001459739,0.001309736,0.001728483,0.00005675005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656242,"about_ca_system_score_gemma":0.0001097088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005517667,"about_ca_topic_score_gemma":0.002512777,"domain_scores_codex":[0.9970769,0.0002061649,0.000579511,0.001526903,0.0001846657,0.000425814],"domain_scores_gemma":[0.997089,0.0002381516,0.0007611774,0.001464529,0.0001707883,0.000276371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004829595,0.00661191,0.2836398,0.003880196,0.008107283,0.0004478253,0.2917827,0.001759417,0.001058891,0.3534718,0.01071663,0.03369392],"study_design_scores_gemma":[0.006583469,0.0006128626,0.3433501,0.001397501,0.0006477773,0.00004860385,0.06105878,0.3759778,0.00009810497,0.08014549,0.125479,0.004600464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8115872,0.003861155,0.001772801,0.001220842,0.0003884059,0.0006517763,0.002461019,0.0001144109,0.1779424],"genre_scores_gemma":[0.9769402,0.005321789,0.01088367,0.00006587505,0.0001242145,0.000002292337,0.0001765533,0.00004670097,0.006438706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3742184,"threshold_uncertainty_score":0.999581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155678918562338,"score_gpt":0.2134817143277989,"score_spread":0.1919249251421755,"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."}}