{"id":"W4250867380","doi":"10.2139/ssrn.2200485","title":"A Markov Switching Approach to Herding","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Herding; Markov chain; Computer science; Business; Economics; Econometrics; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.00306021,0.0001045396,0.0001077335,0.0001650424,0.0002822065,0.000230387,0.0006945694,0.00003729322,0.000007351065],"category_scores_gemma":[0.00004886742,0.00008929225,0.00006265811,0.000419748,0.000005870345,0.000931239,0.0001613254,0.001079005,0.00006844301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004559798,"about_ca_system_score_gemma":0.0005565449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008959087,"about_ca_topic_score_gemma":0.000005954004,"domain_scores_codex":[0.9966827,0.0001096029,0.0001835186,0.000161366,0.0003145756,0.002548252],"domain_scores_gemma":[0.9993808,0.00002492126,0.00006221867,0.0002075025,0.00005618144,0.0002683885],"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":[0.00000605575,0.0001154546,0.001093112,0.00000421364,0.00004463409,5.196347e-7,0.00176024,0.001232311,0.0003762855,0.8814304,0.0002881077,0.1136486],"study_design_scores_gemma":[0.00426758,0.001332661,0.003616708,0.000147353,0.00005578374,0.008221612,0.007886569,0.4777406,0.0006933311,0.4370788,0.05614073,0.002818299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004038134,0.0005738112,0.9813383,0.001054077,0.0002020301,0.0001076093,7.111915e-8,0.0000681631,0.01261786],"genre_scores_gemma":[0.9212347,0.0002065304,0.07664809,0.0004395148,0.0002865975,0.000006860882,3.805856e-7,0.00001317432,0.001164098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9171966,"threshold_uncertainty_score":0.4687798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475044926229072,"score_gpt":0.25488388603817,"score_spread":0.2401334367758793,"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."}}