{"id":"W2389460909","doi":"","title":"Quantitative analysis of the effects of different attack tactics for world top men's volleyball teams","year":2011,"lang":"en","type":"article","venue":"Shandong Sports Science & Technology","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematical statistics; Computer science; Quarter (Canadian coin); Statistics; Operations research; Mathematics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001900541,0.0005343833,0.0003840698,0.001765654,0.0002943455,0.0004025422,0.0002733495,0.0002944469,0.001795414],"category_scores_gemma":[0.006972496,0.0001308333,0.0006897821,0.0009014807,0.0004899367,0.0005121781,0.0003201923,0.0004128263,0.0001647591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586807,"about_ca_system_score_gemma":0.0004142549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046115,"about_ca_topic_score_gemma":0.001046542,"domain_scores_codex":[0.9981133,0.0006268037,0.0001233196,0.0003391729,0.0006528308,0.0001446013],"domain_scores_gemma":[0.9928282,0.004550475,0.000866233,0.0004385765,0.001019664,0.0002968484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00379346,0.001921197,0.2021737,0.001924358,0.001045958,0.0003488566,0.002256763,0.07428509,0.2642668,0.00939467,0.003060642,0.4355284],"study_design_scores_gemma":[0.0001032232,0.004369613,0.8138154,0.00007178799,0.0006444477,0.0003832258,0.001791417,0.1003624,0.07041816,0.004546517,0.003296532,0.0001972934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033566,0.0004100823,0.09103172,0.00009134698,0.00005140194,0.0001726742,0.0009019885,0.0002029668,0.003781267],"genre_scores_gemma":[0.9865506,0.0001154196,0.01168422,0.00002618519,0.00002520027,0.0001811829,0.0005565317,0.00002599163,0.0008347048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900541,"threshold_uncertainty_score":0.01005113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765428208142093,"score_gpt":0.2342038201254706,"score_spread":0.2254383919173286,"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."}}