{"id":"W2527278991","doi":"10.1109/mcg.2016.90","title":"Sports Tournament Predictions Using Direct Manipulation","year":2016,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tournament; Computer science; Interface (matter); Focus (optics); League; User interface; Visitor pattern; Human–computer interaction; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001190802,0.00009810998,0.00009369582,0.0001538733,0.0002514721,0.000143928,0.0002483361,0.00003880589,0.000005206857],"category_scores_gemma":[0.000001440766,0.00007548402,0.0000395245,0.0003612841,0.00004750882,0.0003169858,0.00008695637,0.00003911781,0.000005681884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001905361,"about_ca_system_score_gemma":0.00002372088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005681714,"about_ca_topic_score_gemma":0.000002791805,"domain_scores_codex":[0.9991485,0.00001876035,0.0002102071,0.0003048478,0.0001820095,0.0001356734],"domain_scores_gemma":[0.999279,0.00003985233,0.00009389927,0.0003930602,0.00008941806,0.0001048098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.231661e-7,0.0001181968,0.004527064,0.00001033755,0.00002729918,0.00000184741,0.00006368978,0.0004998656,0.0004243457,0.9235043,0.001524009,0.06929834],"study_design_scores_gemma":[0.0002877668,0.00002843734,0.009011637,0.00005214015,0.00002622095,0.00002740658,0.00000324577,0.9008721,0.0001983993,0.01483834,0.07440197,0.0002522839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002861165,0.00003354994,0.9959795,0.0004371718,0.0001588351,0.0001673939,0.00001671997,0.0001416809,0.0002040099],"genre_scores_gemma":[0.9726585,0.0003419601,0.02603584,0.0004687303,0.0003286443,0.00003817966,0.0000118047,0.00001155196,0.000104764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9699436,"threshold_uncertainty_score":0.3078149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020593011352092,"score_gpt":0.2857579929975708,"score_spread":0.2555520628840499,"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."}}