{"id":"W2366128575","doi":"","title":"Comparative Analysis on Li Na and Her Major Rival's Run Characteristics in 2011 Australian Open","year":2012,"lang":"en","type":"article","venue":"Journal of Guizhou Normal University","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Object (grammar); Research Object; Computer science; Statistics; Psychology; Econometrics; Mathematics; Sociology; History; Artificial intelligence; Regional science; Archaeology","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":[0.0006399102,0.00009872577,0.0003992281,0.0004911289,0.0001171859,0.0001141916,0.0006730821,0.00005388717,0.00008770829],"category_scores_gemma":[0.00001291553,0.00008893006,0.0001128036,0.000642724,0.00003305755,0.001755626,0.0002663762,0.0001902736,0.00001127105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028539,"about_ca_system_score_gemma":0.00004466842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186113,"about_ca_topic_score_gemma":0.0000992772,"domain_scores_codex":[0.9990456,0.000163623,0.0002691409,0.0001213444,0.000217697,0.0001825743],"domain_scores_gemma":[0.9990718,0.00004445226,0.0003878581,0.0001781726,0.0001438457,0.0001738596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448303,0.000373017,0.9881086,0.000005424571,0.0005591876,0.00009094779,0.002071574,0.0003778554,0.0001025148,0.005203707,0.001223012,0.001739359],"study_design_scores_gemma":[0.0005462113,0.0001187665,0.9889507,0.00001445591,0.0002454678,0.000009478707,0.0002620678,0.005299782,0.00009704415,0.00002500535,0.004307416,0.0001236412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717978,0.00002140227,0.02508595,0.0006223764,0.0001351779,0.00006597646,0.00000679369,0.000005454026,0.002259078],"genre_scores_gemma":[0.9957429,0.00003003495,0.003195364,0.00007504806,0.0000394441,3.888069e-8,0.000002965125,0.000001705246,0.0009125213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02394509,"threshold_uncertainty_score":0.3626463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306818305394338,"score_gpt":0.2633989345931012,"score_spread":0.2327171040536674,"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."}}