{"id":"W4414015816","doi":"10.11159/mhci25.118","title":"Perceptual Calibration of Gravitational Constants in Virtual Environments","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Gravitational constant; Gravitation; Perception; Constant (computer programming); Computer science; Remote sensing; Environmental science; Physics; Geology; Astronomy; Psychology; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001433726,0.0004431692,0.0002768473,0.000925616,0.0003648349,0.002289851,0.0006358633,0.0007701078,0.002372773],"category_scores_gemma":[0.01982147,0.0004653772,0.0002824054,0.0002946098,0.0009082526,0.001573094,0.002342215,0.0005808223,0.0002934528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359262,"about_ca_system_score_gemma":0.0002253809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617668,"about_ca_topic_score_gemma":0.0008535404,"domain_scores_codex":[0.9983122,0.0006380815,0.0001066234,0.0003284267,0.0004899226,0.0001246725],"domain_scores_gemma":[0.9962443,0.001864913,0.0006953761,0.0004258535,0.0005170833,0.0002525549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003153293,0.0002856887,0.07995662,0.00143348,0.0002455573,0.000878089,0.03167868,0.01111262,0.6251298,0.01106173,0.001949778,0.2331147],"study_design_scores_gemma":[0.0003124222,0.003424454,0.8320009,0.000677268,0.0003174234,0.004068195,0.02390304,0.04773401,0.05760808,0.01228985,0.01700153,0.0006628488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548109,0.0006206583,0.0345294,0.0001158643,0.00004649853,0.0001013256,0.00006711452,0.0001959113,0.009512311],"genre_scores_gemma":[0.9929276,0.0001250697,0.00660323,0.00003106321,0.000005173934,0.00001427561,0.00003192352,0.00002856,0.000233037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002372773,"threshold_uncertainty_score":0.007937729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315523565748397,"score_gpt":0.2193925229498675,"score_spread":0.2140769993841191,"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."}}