{"id":"W4393796280","doi":"10.5281/zenodo.10216067","title":"Leather Flying Helmet","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Computer science; Computer graphics (images); Engineering","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":[0.0003159757,0.002290524,0.00118285,0.001767172,0.0007421333,0.001228127,0.002248274,0.002017586,0.05494736],"category_scores_gemma":[0.001666591,0.0004389656,0.00116896,0.003101298,0.0002565318,0.00101412,0.001391434,0.00135038,0.07885154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357679,"about_ca_system_score_gemma":0.001184971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07072785,"about_ca_topic_score_gemma":0.1726808,"domain_scores_codex":[0.9995826,0.00005464091,0.0000319675,0.0001397098,0.0001024892,0.00008860219],"domain_scores_gemma":[0.9995245,0.00007359213,0.00005297449,0.0001212417,0.0001552,0.00007246612],"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":[0.00009105813,0.0000199612,0.0009215368,0.0003511915,0.00002508496,0.0000296336,0.00001620839,0.0003158724,0.00008627412,0.0001769722,0.9944915,0.003474772],"study_design_scores_gemma":[0.0002226119,0.00003433612,0.01603736,0.0003866973,0.00004219952,0.0001699052,0.0001429957,0.001109031,0.0004538296,0.0007867081,0.9805661,0.00004823641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003805285,0.0001029356,0.0000829574,0.00006495386,0.00003461871,0.00001685427,0.9976959,0.0004343238,0.001186847],"genre_scores_gemma":[0.0009733657,0.00007946846,0.0002247966,0.00003875832,0.000007508149,0.00004072038,0.9974778,0.00005405945,0.001103629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07072785,"threshold_uncertainty_score":0.1838172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0604294045461035,"score_gpt":0.3184661462440421,"score_spread":0.2580367416979386,"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."}}