{"id":"W1504190990","doi":"","title":"Caller Number Five: Timing Games that Morph From One Form to Another","year":2004,"lang":"en","type":"article","venue":"2004 Meeting Papers","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unobservable; Observable; Attrition; Anticipation (artificial intelligence); Mathematical economics; Class (philosophy); Rank (graph theory); Computer science; Economics; Econometrics; Mathematics; Combinatorics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002846678,0.0002042165,0.0003927985,0.00007236779,0.0001310955,0.00008504929,0.000241129,0.0001026094,0.002262873],"category_scores_gemma":[0.00006009327,0.0002411899,0.0001376227,0.00008788086,0.0000427422,0.0001696952,0.00007962321,0.0001260838,0.002366224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448156,"about_ca_system_score_gemma":0.00002160177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003889819,"about_ca_topic_score_gemma":0.0003153211,"domain_scores_codex":[0.9985865,0.000006291237,0.0004213227,0.0005095236,0.00003682638,0.0004395192],"domain_scores_gemma":[0.9992459,0.00005284803,0.0001962163,0.0003690502,0.00001311646,0.0001229015],"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":[0.0003155028,0.0005880506,0.1120796,0.0001130855,0.00107889,0.00005368318,0.03671006,0.08822598,0.002556273,0.7365639,0.01078334,0.01093174],"study_design_scores_gemma":[0.006116283,0.0001788879,0.02513012,0.0005607202,0.00006337115,0.00001610652,0.003466223,0.0008063365,0.005565235,0.4589244,0.4961582,0.003014136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7088922,0.0004382206,0.001141231,0.002078965,0.0004633721,0.0002097555,0.0001394119,0.0000845096,0.2865523],"genre_scores_gemma":[0.9821554,0.00008942727,0.00734495,0.002154173,0.0002195558,0.00002668875,0.00001600195,0.00006194573,0.007931826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4853748,"threshold_uncertainty_score":0.9986492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852561573876506,"score_gpt":0.2230670521256857,"score_spread":0.1845414363869207,"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."}}