{"id":"W4302012004","doi":"10.32920/ryerson.14657652.v1","title":"Impact of curved surfaces in performance spaces","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Surface (topology); Work (physics); Contrast (vision); Curved space; Geometry; Acoustics; Engineering; Physics; Optics; Mathematics; Mechanical engineering; Classical mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001280406,0.0001973024,0.0004762041,0.0002231967,0.000140717,0.000006319617,0.0003165504,0.0001502077,0.01029962],"category_scores_gemma":[0.00004625489,0.0001449081,0.0001300654,0.0001600379,0.00002371409,0.00005032226,0.001902689,0.001137137,0.00005138769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425157,"about_ca_system_score_gemma":0.0004060177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372346,"about_ca_topic_score_gemma":0.0009094938,"domain_scores_codex":[0.9980753,0.0005294372,0.0004839533,0.0003004328,0.0002450366,0.0003658586],"domain_scores_gemma":[0.998804,0.000252535,0.0003488657,0.0004962954,0.00004599968,0.00005227173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008743101,0.0001301357,0.9637259,0.002568162,0.00009779704,0.000003807585,0.001955407,0.01601807,0.00007445378,0.0004313348,0.01366004,0.00124748],"study_design_scores_gemma":[0.0004936336,0.0001728152,0.9911382,0.0003815902,0.00001650038,3.535258e-8,0.0009551294,0.002164104,0.00000993019,0.0001607624,0.004316935,0.0001903275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930365,0.0002004348,0.00001073754,0.0001925233,0.0009207221,0.00148033,0.00003128042,0.00005359604,0.06674542],"genre_scores_gemma":[0.9868578,0.0005647705,0.0001951153,0.00006043237,0.00005396143,0.0002899372,0.00004837944,0.00002187864,0.01190767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0564929,"threshold_uncertainty_score":0.9928442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07327472072328006,"score_gpt":0.4626664848863264,"score_spread":0.3893917641630464,"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."}}