{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273865,0.0001005882,0.0002345076,0.00234847,0.002021727,0.001835118,0.0004298188,0.0003060286,0.003231527],"category_scores_gemma":[0.006988766,0.00009026085,0.0001464097,0.002699469,0.0008611193,0.001232315,0.001317035,0.0005728031,0.0003372535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003163324,"about_ca_system_score_gemma":0.001145713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0715502,"about_ca_topic_score_gemma":0.1879999,"domain_scores_codex":[0.9986701,0.0002829485,0.00008008208,0.0001670462,0.0005862694,0.0002135217],"domain_scores_gemma":[0.9957116,0.0009388192,0.001016449,0.0001420982,0.001615636,0.0005755252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003973171,0.0001708611,0.5869102,0.0001847352,0.00006743386,0.001857037,0.276399,0.0004507683,0.003983222,0.01614357,0.006578836,0.1068571],"study_design_scores_gemma":[0.000001425409,0.0001027878,0.8451179,0.00003840695,0.00001532901,0.0001546289,0.1365825,0.001150942,0.0003994245,0.0004208247,0.01597783,0.00003805809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866567,0.00009110499,0.0002566561,0.0001688171,0.00001044531,0.00001317338,0.0001044934,0.000006550469,0.01269187],"genre_scores_gemma":[0.9929047,0.00006471856,0.0001578209,0.00002214282,0.000005360347,0.00001116042,0.0001539218,0.000005878343,0.006674258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0715502,"threshold_uncertainty_score":0.1422675,"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."}}