{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011064,0.0008361967,0.0007518425,0.0005831181,0.0006549962,0.002018564,0.001255811,0.002315447,0.009690384],"category_scores_gemma":[0.01085883,0.0002679995,0.000685011,0.0007293619,0.002411927,0.003015923,0.001919392,0.002396662,0.0008142409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023767,"about_ca_system_score_gemma":0.0009853598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630102,"about_ca_topic_score_gemma":0.001265094,"domain_scores_codex":[0.9986997,0.0007179028,0.00004301378,0.0001519903,0.0002287241,0.0001587762],"domain_scores_gemma":[0.9964924,0.002493788,0.0001781923,0.0002112401,0.0003082942,0.0003160748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008341673,0.00003877825,0.000624291,0.00009289954,0.00002555717,0.0001704397,0.0001398143,0.03094142,0.001316878,0.9435639,0.004879118,0.01812343],"study_design_scores_gemma":[0.00008599448,0.0001445492,0.0005181869,0.00007153362,0.00001861972,0.0001235117,0.0001034256,0.08023137,0.0004462475,0.9088911,0.009328606,0.00003681467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1188698,0.005248467,0.5690534,0.0234142,0.001363677,0.0001940745,0.0002445392,0.0001886181,0.2814233],"genre_scores_gemma":[0.8955883,0.003838966,0.07155425,0.002653244,0.001311983,0.0003000178,0.0001021951,0.0001263767,0.02452459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009690384,"threshold_uncertainty_score":0.03241754,"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."}}