{"id":"W4392775142","doi":"10.21203/rs.3.rs-3968715/v1","title":"Sweeping effects on curling and friction estimation","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Paul University","funders":"Rikkyo University","keywords":"Curling; Estimation; Economics; Mechanical engineering; Engineering; Management","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":[0.0008608042,0.0001568377,0.000249105,0.0004795462,0.0001500568,0.0001384517,0.00006549885,0.0002158106,0.00003932249],"category_scores_gemma":[0.0002100674,0.0001314831,0.00007561583,0.0001943703,0.00005039916,0.00003828659,0.0004984457,0.002034838,0.0001136442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203328,"about_ca_system_score_gemma":0.0001403125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009898691,"about_ca_topic_score_gemma":0.000003890912,"domain_scores_codex":[0.9983828,0.00005861943,0.0001931204,0.0004294906,0.0006373277,0.0002986504],"domain_scores_gemma":[0.9991373,0.0001740453,0.00003762749,0.0003603379,0.0001616053,0.00012903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008902926,0.000194416,0.01181498,0.09123197,0.0003282281,0.0007393845,0.005601097,0.001586452,0.0009862409,0.004107877,0.01872267,0.8637964],"study_design_scores_gemma":[0.002167059,0.006135209,0.1886119,0.1670573,0.0004003505,0.0001922059,0.0008901541,0.5306439,0.02620761,0.03091227,0.04551989,0.001262218],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846964,0.003305436,0.0002826301,0.002702958,0.0009449695,0.001118549,0.000012344,0.0001553426,0.006781393],"genre_scores_gemma":[0.9964972,0.0007430397,0.0005229225,0.00005888267,0.0009958685,0.0000997169,0.00008603984,0.00003642863,0.0009599177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8625342,"threshold_uncertainty_score":0.8840472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487600801174133,"score_gpt":0.4273068262900145,"score_spread":0.3824308182782732,"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."}}