{"id":"W2367855911","doi":"","title":"Research on Correlative Relation between Four Quarters Score and Lost Points with Result in CBA Basketball Match","year":2005,"lang":"en","type":"article","venue":"Sport Science and Technology","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basketball; Quarter (Canadian coin); Character (mathematics); Statistics; Correlation coefficient; Mathematics; History","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":[0.00184274,0.0002700911,0.0002303549,0.001538432,0.0003298595,0.0008084945,0.0003677948,0.0003902871,0.00525295],"category_scores_gemma":[0.01126466,0.0001685923,0.0004989982,0.001299695,0.0005163456,0.0004961116,0.0005300938,0.0006225206,0.0006165037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321429,"about_ca_system_score_gemma":0.0004384178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590669,"about_ca_topic_score_gemma":0.002978827,"domain_scores_codex":[0.9984577,0.0004068831,0.0002001261,0.0002664286,0.0004510612,0.00021789],"domain_scores_gemma":[0.9908111,0.004193886,0.00229855,0.0004633316,0.001240578,0.0009926102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001906123,0.0000991347,0.9919165,0.00002254962,0.00007387454,0.0000565427,0.0002301469,0.0001439208,0.0003444617,0.0002293868,0.0001638347,0.006529059],"study_design_scores_gemma":[0.000003279069,0.0001389697,0.9984847,0.000005818176,0.00003690604,0.0001139604,0.0002169483,0.0003297018,0.000279825,0.000161412,0.0002235922,0.000004911325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969891,0.0002298161,0.0004961257,0.00007668581,0.00001953452,0.00001094957,0.0002015662,0.000008702798,0.00196774],"genre_scores_gemma":[0.9985446,0.00008095517,0.0001894135,0.000008750566,0.00001125704,0.000009287981,0.000225025,0.00000421907,0.0009264763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00525295,"threshold_uncertainty_score":0.01757288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111049349656848,"score_gpt":0.2643285035903432,"score_spread":0.2432180100937747,"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."}}