{"id":"W2090640228","doi":"10.1111/1475-3995.00327","title":"A Note on Fantasy Team Selection Strategy","year":2001,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Fantasy; Selection (genetic algorithm); Computer science; Psychology; Operations research; Artificial intelligence; Mathematics","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":[0.00452325,0.0001307552,0.00013991,0.001315567,0.000525712,0.0004764932,0.0008885023,0.0001097785,0.01187683],"category_scores_gemma":[0.001033715,0.0001137129,0.00009234716,0.001995431,0.0001877131,0.000619618,0.00001992829,0.0007728707,0.002613214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645317,"about_ca_system_score_gemma":0.0003351769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001374112,"about_ca_topic_score_gemma":0.0008398011,"domain_scores_codex":[0.9951347,0.0004857605,0.0006120342,0.0005824091,0.002854837,0.0003302549],"domain_scores_gemma":[0.9958755,0.002431005,0.00005129261,0.0003101722,0.001219721,0.0001123002],"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":[0.0007367275,0.001556142,0.003317477,0.000001913008,0.00004621331,0.0000211781,0.0006860681,0.3789397,0.007707433,0.4351281,0.004544545,0.1673146],"study_design_scores_gemma":[0.001759285,0.0004491004,0.03801396,0.00005718264,0.000005836361,0.0002109241,0.001569836,0.1952408,0.005991795,0.2566929,0.499527,0.0004814063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.212316,0.00002504599,0.2569456,0.02341581,0.0008059765,0.0009260396,0.000150874,0.00009935942,0.5053153],"genre_scores_gemma":[0.9669291,0.00005186729,0.0006844643,0.0002274841,0.0002296096,0.0002552594,0.00002478994,0.00001286154,0.03158457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7546131,"threshold_uncertainty_score":0.9981633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2822096772210426,"score_gpt":0.5484308002048266,"score_spread":0.266221122983784,"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."}}