{"id":"W1043174410","doi":"10.1520/stp15232s","title":"Impact Performance Characteristics of Hockey Helmets with Liners of Differing Thicknesses","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Forensic engineering; Aeronautics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003282781,0.0005058966,0.0002548565,0.000724329,0.0001556525,0.0002497225,0.0002303637,0.0003437959,0.002043181],"category_scores_gemma":[0.001267724,0.0002800921,0.0003969587,0.000281217,0.0002581885,0.0002980912,0.0005121012,0.0002004209,0.0004880287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916707,"about_ca_system_score_gemma":0.0001379274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173073,"about_ca_topic_score_gemma":0.003112963,"domain_scores_codex":[0.999662,0.0000425363,0.00003192102,0.00004394514,0.0001420505,0.00007748221],"domain_scores_gemma":[0.9993242,0.0001813536,0.0001767049,0.00004593321,0.0001716455,0.000100252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005094962,0.0005188977,0.2874109,0.0001939347,0.0001837489,0.0007969093,0.0008172434,0.008457914,0.6716487,0.00006596786,0.0002097616,0.02460111],"study_design_scores_gemma":[0.00003090444,0.01080335,0.909461,0.00001988988,0.00006928678,0.0005790703,0.0008088044,0.003536695,0.07421226,0.00002989215,0.000406704,0.00004214423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997752,0.00001171142,0.00005829201,0.000001098792,9.034118e-7,0.000005179436,0.00003464398,0.000002028548,0.0001108935],"genre_scores_gemma":[0.9990408,0.00003093081,0.000161279,0.000006028301,0.000001658616,0.00000613737,0.0001812125,0.0000034838,0.0005684268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002173073,"threshold_uncertainty_score":0.006835163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724529128775857,"score_gpt":0.2549375625021198,"score_spread":0.2376922712143612,"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."}}