{"id":"W6989253320","doi":"","title":"Analysis of shot, unforced error,number of shot and duration of thematch between Shi Yuqi and Lee ChongWei in All England 2017 / Muhamad Fitri Adnan","year":2018,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shot (pellet); Duration (music); Calculus (dental); Quarter (Canadian coin)","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":[0.0007732917,0.0002168104,0.0003540298,0.001018441,0.0005645934,0.0004316986,0.0004462314,0.000208406,0.004629689],"category_scores_gemma":[0.001680044,0.0001650725,0.0003398313,0.001366691,0.000257246,0.0003242726,0.0006787388,0.000351717,0.0005574899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028446,"about_ca_system_score_gemma":0.0009599623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05288045,"about_ca_topic_score_gemma":0.1154801,"domain_scores_codex":[0.9992629,0.00008025603,0.0001129483,0.000134138,0.0002709049,0.0001388625],"domain_scores_gemma":[0.9988458,0.0001597645,0.0004093037,0.00004704643,0.0003681565,0.0001699123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001544741,0.00006828521,0.9789974,0.000103954,0.0000514872,0.0006458126,0.003739361,0.0001155564,0.0006856435,0.0001784922,0.0008937906,0.01436566],"study_design_scores_gemma":[0.000001875806,0.00007681411,0.9886032,0.00002622687,0.00001420089,0.0001305633,0.009224216,0.0001445995,0.0002101699,0.00002562631,0.001535931,0.000006485429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972388,0.000208898,0.000244431,0.00007081914,0.00001993203,0.00002486887,0.0006242997,0.000003268266,0.0015646],"genre_scores_gemma":[0.9920328,0.0002431471,0.0005051755,0.00003472681,0.000009949123,0.00005400979,0.001506198,0.000005105326,0.005608971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05288045,"threshold_uncertainty_score":0.1051453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454470697298228,"score_gpt":0.2995011931608526,"score_spread":0.2540541234310297,"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."}}