{"id":"W7117456232","doi":"10.1145/3714394.3756207","title":"Summary of SHL Challenge 2025: Locomotion and Transportation Mode Recognition Using Foundation Models","year":2025,"lang":"","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Foundation (evidence); Software; Mode (computer interface); Motion (physics); Protocol (science)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002172802,0.0002800695,0.0004157243,0.0006440419,0.0001206119,0.00006108401,0.0000637245,0.0002521886,0.0004652272],"category_scores_gemma":[0.00001133438,0.0003358836,0.000173296,0.0006122136,0.00005863578,0.0008853924,0.000009696286,0.0001852861,0.00001096405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105091,"about_ca_system_score_gemma":0.00005424404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005338161,"about_ca_topic_score_gemma":0.0006498123,"domain_scores_codex":[0.9983048,0.00007311184,0.0008088867,0.0003714965,0.0002114055,0.0002302537],"domain_scores_gemma":[0.9992507,0.00005620586,0.0001526909,0.0001646616,0.0002997039,0.00007605065],"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":[0.0001038383,0.0004530262,0.0002921089,0.003026506,0.0008168689,0.000003047606,0.001497586,0.329451,0.01265976,0.005256196,0.0001120246,0.646328],"study_design_scores_gemma":[0.0008196923,0.00003878417,0.0005119853,0.0007833015,0.0007224184,6.147787e-7,0.0006346868,0.9671541,0.003587277,0.0254173,0.00004600395,0.0002838582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3266712,0.0008433333,0.6583464,0.0002088186,0.000266294,0.0003691078,0.0000583859,0.00009592703,0.0131406],"genre_scores_gemma":[0.9883066,0.005972076,0.004633229,0.00003471299,0.00004499067,0.00001518913,0.0006599568,0.00002646443,0.0003067561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6616355,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708417523300174,"score_gpt":0.2716425851545006,"score_spread":0.2245584099214988,"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."}}