{"id":"W4389147943","doi":"10.1177/21695067231192480","title":"Where’s that bike? Sounds and metrics for a smart bicycle bell","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"French horn; Perception; Computer science; Range (aeronautics); Set (abstract data type); Telecommunications; Engineering; Psychology; Acoustics; Physics","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":[0.0005726257,0.00015675,0.0002914247,0.00008959208,0.00059007,0.00002856444,0.0001169955,0.0002183617,8.070139e-7],"category_scores_gemma":[0.0001942103,0.0001179399,0.0001491338,0.0002863449,0.0001762804,0.000125858,0.0002111569,0.0002557005,3.514759e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005246353,"about_ca_system_score_gemma":0.00002348684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008796986,"about_ca_topic_score_gemma":0.000006628318,"domain_scores_codex":[0.9990675,0.000003540846,0.000249697,0.0002562886,0.0001115258,0.0003114124],"domain_scores_gemma":[0.9993302,0.0001622985,0.0002037802,0.00007444264,0.0001389603,0.00009037641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000322342,0.00001925889,0.9862856,0.0008350225,0.00007183991,5.477637e-8,0.006788767,6.273287e-7,0.003219649,0.0005292177,0.001514384,0.000703369],"study_design_scores_gemma":[0.002308601,0.0009012757,0.8648543,0.001263617,0.0003588414,0.00001229795,0.07874229,0.001116412,0.03791313,0.003450715,0.008453886,0.0006246738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982903,0.0003520701,0.000002449577,0.0005461543,0.000170988,0.0003520368,0.00002890583,0.0001192387,0.000137827],"genre_scores_gemma":[0.9984507,0.0004475682,0.0006390554,0.00006658545,0.0001058699,0.00001705515,0.00000428366,0.0000260529,0.0002428513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214313,"threshold_uncertainty_score":0.4809451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905001136129272,"score_gpt":0.2937839877226759,"score_spread":0.2447339763613832,"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."}}