{"id":"W2163071147","doi":"","title":"Notational Analysis of Elite Men's Water Polo Related to Specific Margins of Victory.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Sports Performance and Training","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Counterattack; Offensive; Water polo; Duration (music); Power (physics); Outcome (game theory); Elite; Quarter (Canadian coin); Margin (machine learning); Operations research; Psychology; Operations management; Statistics; Computer science; Mathematics; Political science; Economics; Physics; Mathematical economics; History; Medicine; Physical medicine and rehabilitation; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259805,0.00006841431,0.0002673541,0.0004088558,0.00001548217,0.00000197311,0.00003864754,0.00004173112,0.0005651172],"category_scores_gemma":[0.000009401647,0.00004879927,0.0001059939,0.000480494,0.00003115906,0.00008632516,0.00001501004,0.00005786644,0.00002161435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000285797,"about_ca_system_score_gemma":0.000008271217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021868,"about_ca_topic_score_gemma":0.000001233704,"domain_scores_codex":[0.9991095,0.000004722006,0.0002911056,0.00009560584,0.0002266857,0.000272372],"domain_scores_gemma":[0.9995577,0.00001284564,0.00006068727,0.0001653423,0.00007302108,0.0001303713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293271,0.0001142705,0.9816234,0.00002154879,0.0008086954,0.000002503962,0.003188008,0.00004957826,0.00147156,0.0003049158,0.0001723644,0.01211388],"study_design_scores_gemma":[0.0004222789,0.00001283784,0.9858033,0.00000682043,0.0004497876,0.000002068936,0.0001734285,0.00002998685,0.005233702,0.000005273268,0.007807403,0.00005312751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859396,0.0001079881,0.00000865334,0.0002829039,0.00009587099,0.0002112063,0.000007325998,0.00001316732,0.01333325],"genre_scores_gemma":[0.9985376,0.00002066498,0.0001725684,0.0001174467,0.00006107785,0.00006814063,0.00008830447,0.000008775323,0.0009254327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259795,"threshold_uncertainty_score":0.6187637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140151542639539,"score_gpt":0.2470995988474535,"score_spread":0.2256980834210581,"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."}}