{"id":"W4380741872","doi":"10.21203/rs.3.rs-3069154/v1","title":"Quasi-Static Levitation of Magic Squares","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Mount Saint Vincent University; Université Laval","keywords":"Magic square; MAGIC (telescope); Least-squares function approximation; Levitation; Displacement (psychology); Electric charge; Physics; Theoretical physics; Classical mechanics; Mathematics; Geometry; Quantum mechanics; Statistics; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003957967,0.0003005819,0.0004621739,0.001484051,0.0001536173,0.0004001392,0.002138289,0.0002594926,0.00007380148],"category_scores_gemma":[0.001683126,0.0003039729,0.0002448392,0.001675693,0.0002443148,0.0004368949,0.002516203,0.001454754,0.0009728784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184634,"about_ca_system_score_gemma":0.0009653798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011899,"about_ca_topic_score_gemma":0.00008165686,"domain_scores_codex":[0.9935929,0.001262423,0.0006577286,0.001043294,0.002691478,0.0007522197],"domain_scores_gemma":[0.9944437,0.001771861,0.000280173,0.001760987,0.001536205,0.0002071267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005781085,0.005717256,0.004455714,0.06408906,0.0007993324,0.001716685,0.03804178,0.08790516,0.0626738,0.3200825,0.1696479,0.2442927],"study_design_scores_gemma":[0.00118314,0.002150632,0.01733185,0.005108749,0.00003226128,0.00001208551,0.001358885,0.553444,0.01253344,0.404082,0.001606671,0.001156289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04546823,0.001001477,0.9389088,0.008010141,0.001264903,0.002823134,0.0002712227,0.0009421988,0.001309922],"genre_scores_gemma":[0.9724426,0.0003254837,0.02484242,0.00005095806,0.0002436669,0.0002894427,0.0002729478,0.00008657428,0.001445927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9269744,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1742726533031392,"score_gpt":0.4419169458825289,"score_spread":0.2676442925793897,"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."}}