{"id":"W7117476480","doi":"10.1145/3714394.3750579","title":"HASCA: 13th International Workshop on Human Activity Sensing Corpus and Applications","year":2025,"lang":"","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Activity recognition; Context (archaeology); Wearable computer; Ubiquitous computing; Wearable technology; Data collection","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":[],"consensus_categories":[],"category_scores_codex":[0.01316266,0.003018797,0.003690256,0.006340982,0.002500093,0.006983655,0.005092998,0.003362244,0.0362437],"category_scores_gemma":[0.02208026,0.001293877,0.002621729,0.004674087,0.001476099,0.007906775,0.008203425,0.004841716,0.03372064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607673,"about_ca_system_score_gemma":0.006409606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03002428,"about_ca_topic_score_gemma":0.05396819,"domain_scores_codex":[0.993206,0.002300177,0.0006703497,0.001481051,0.001804355,0.0005379445],"domain_scores_gemma":[0.985146,0.003681544,0.0002376187,0.003651369,0.005437992,0.001845551],"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":[0.0003261787,0.0002264125,0.001133344,0.0006269984,0.00008154987,0.00009324592,0.0002579919,0.0008439655,0.003108189,0.002998202,0.8064071,0.1838968],"study_design_scores_gemma":[0.00008638974,0.0001697081,0.007271826,0.0005999926,0.00007191295,0.0002847868,0.0006684177,0.01215533,0.004076389,0.009634012,0.9648896,0.0000916394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02099494,0.05709201,0.3589595,0.04020502,0.04857941,0.004224204,0.3090646,0.08911542,0.07176479],"genre_scores_gemma":[0.03860534,0.01230603,0.2166932,0.005876373,0.004342543,0.005572177,0.6225023,0.00581814,0.08828387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0362437,"threshold_uncertainty_score":0.1212473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761243531055087,"score_gpt":0.3364357114114679,"score_spread":0.278823276100917,"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."}}