{"id":"W7015275025","doi":"","title":"Simulation for Cricket: A Machine Learning Approach","year":2024,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Sri Jayewardenepura; Brock University","keywords":"Nucleofection; Gestational period; TSG101; Proteogenomics; Diafiltration; Liquation; Articular cartilage damage; Hyporeflexia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001530617,0.0007144357,0.0006823716,0.001096122,0.0006581543,0.00132115,0.002176584,0.00137082,0.007264902],"category_scores_gemma":[0.00680222,0.0005133046,0.0007863026,0.0008079166,0.0006404839,0.001296399,0.001151932,0.001798211,0.001231026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437966,"about_ca_system_score_gemma":0.001483922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232331,"about_ca_topic_score_gemma":0.01082133,"domain_scores_codex":[0.9994023,0.0002569649,0.00004294867,0.0001356347,0.0001094203,0.0000528872],"domain_scores_gemma":[0.9961424,0.002951314,0.0001684197,0.0002257006,0.0003785875,0.0001335496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004353203,0.0001084773,0.001565505,0.00005487933,0.00002775661,0.00004196715,0.00004382189,0.9513794,0.000335737,0.01009556,0.002397682,0.03390567],"study_design_scores_gemma":[0.000001797862,0.000003722423,0.00004626173,0.000002619539,8.312616e-7,0.000002753095,0.000003694804,0.9972326,0.00006850172,0.002258452,0.0003772541,0.00000157845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02576422,0.0002372073,0.9617335,0.0009174696,0.00007235671,0.0002248667,0.0006362267,0.003264688,0.007149514],"genre_scores_gemma":[0.4935215,0.0004234896,0.4961942,0.0002525205,0.00009364794,0.0006167034,0.001860068,0.0003994411,0.006638411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01232331,"threshold_uncertainty_score":0.02450317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562886346645658,"score_gpt":0.2068433193078911,"score_spread":0.1912144558414345,"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."}}