{"id":"W4398327413","doi":"10.7910/dvn/ii5jzg/wcesm5","title":"MSP_F_150_NFL_4_24.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001112042,0.00280925,0.001921083,0.003929447,0.0008231904,0.003104101,0.003374274,0.002921066,0.3557016],"category_scores_gemma":[0.008714474,0.000984279,0.001754437,0.006604346,0.0006312372,0.001999404,0.002726276,0.001549445,0.3027203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681656,"about_ca_system_score_gemma":0.002285721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02927914,"about_ca_topic_score_gemma":0.04008476,"domain_scores_codex":[0.9990258,0.0001511353,0.0001110293,0.0002873208,0.0001975294,0.000227151],"domain_scores_gemma":[0.9974721,0.0008490794,0.0002580282,0.0004777999,0.0005918864,0.0003510776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004553414,0.00001215833,0.0004559857,0.000542779,0.00002233088,0.00001120006,0.00001324534,0.0001381163,0.00003771347,0.0002145987,0.9974411,0.001065298],"study_design_scores_gemma":[0.000613838,0.00003746032,0.004494547,0.0005087865,0.00004375085,0.00006772594,0.00009285917,0.0004318455,0.0003109789,0.001562602,0.9917905,0.00004520215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004594501,0.00003536234,0.00002070057,0.00005975712,0.00001856222,0.000004650728,0.9991416,0.0002302598,0.0004431826],"genre_scores_gemma":[0.0003536705,0.00005948171,0.0001262241,0.00008978027,0.00001661332,0.000060963,0.9982188,0.0001258646,0.0009485785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6442984,"threshold_uncertainty_score":0.9190135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163018115051557,"score_gpt":0.2602719233961603,"score_spread":0.2439701118910046,"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."}}