{"id":"W4376149043","doi":"10.1080/19424280.2023.2209044","title":"Highlighting the present state of biomechanics in shoe research (2000–2023)","year":2023,"lang":"en","type":"article","venue":"Footwear Science","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Curiosity; Data science; Field (mathematics); Engineering ethics; Frame (networking); Theme (computing); Grand Challenges; Computer science; Management science; Psychology; Applied psychology; Engineering; Social psychology","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":[0.003295936,0.00007890434,0.0001025586,0.0005752525,0.0001473252,0.00006786653,0.0008129051,0.00003325173,0.00003315867],"category_scores_gemma":[0.0001901746,0.00005666674,0.00002549626,0.005474783,0.0002439604,0.0001252777,0.0003755771,0.0002200022,0.0001291761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007942194,"about_ca_system_score_gemma":0.0001021153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006665856,"about_ca_topic_score_gemma":0.00004276009,"domain_scores_codex":[0.9983246,0.00004345347,0.0001926383,0.000237002,0.0006388632,0.0005634284],"domain_scores_gemma":[0.9992254,0.0002218519,0.00002085202,0.0003853061,0.00009556079,0.00005106567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007928626,0.00003456974,0.00009732675,0.0001153161,0.000009300877,0.00006434542,0.004711991,0.006747992,0.8168743,0.003016556,0.008665153,0.1596552],"study_design_scores_gemma":[0.0001714229,0.0001092627,0.002104827,0.0001112173,0.000001997189,0.000005301215,0.0008502406,0.6881871,0.2554937,0.01149712,0.04121416,0.0002536421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925274,0.0005228793,0.0004269785,0.0006877012,0.0009518552,0.0003320523,0.00009288301,0.0002906937,0.004167539],"genre_scores_gemma":[0.9990383,0.0002409563,0.0002464547,0.000006016775,0.00002816336,0.0000186614,0.000002543776,0.00001124899,0.0004076517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6814391,"threshold_uncertainty_score":0.2630452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07013221690554176,"score_gpt":0.3197572683905311,"score_spread":0.2496250514849893,"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."}}