{"id":"W4396655905","doi":"10.24908/agt.v2i1.17186","title":"AI-Powered Technology to Keep Cyclists Safe","year":2024,"lang":"en","type":"article","venue":"Aging and (Geron) Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cycling; Computer science; Computer security; Business","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":[0.0003568805,0.0001684166,0.0002559753,0.000551052,0.0004101456,0.0001099102,0.0004428946,0.0004623521,0.0001367035],"category_scores_gemma":[0.0001057733,0.0001613489,0.00005031347,0.001591774,0.0007916427,0.000183963,0.0001114782,0.0004659196,0.0001360686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008023396,"about_ca_system_score_gemma":0.0001078188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005093951,"about_ca_topic_score_gemma":0.002448866,"domain_scores_codex":[0.998386,0.00002778095,0.0002479439,0.0006047715,0.0001642841,0.0005692692],"domain_scores_gemma":[0.9994008,0.00005210963,0.00003241012,0.000352876,0.00005363794,0.0001081846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002125386,0.0001047851,0.3339817,0.0001642928,0.00009473643,0.0002519304,0.004520355,0.000001792647,0.003739875,0.2130933,0.003194324,0.4408317],"study_design_scores_gemma":[0.0003446592,0.0001384732,0.01804767,0.0004022034,0.00007320404,0.00001568252,0.003741939,0.00005671612,0.003566794,0.1943653,0.7785566,0.00069076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804253,0.006046583,0.001031862,0.1013066,0.0007009993,0.0002697183,0.000008960306,0.002256053,0.007953943],"genre_scores_gemma":[0.9968588,0.0002023431,0.0006738912,0.0005194152,0.000119201,0.0000368389,0.000003005613,0.00001871785,0.001567791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7753623,"threshold_uncertainty_score":0.6579619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034844100719033,"score_gpt":0.3272492817196757,"score_spread":0.3169008407124853,"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."}}