{"id":"W6892169495","doi":"10.48660/23060101","title":"Machine Learning of Conserved Quantities and Symmetry Invariants","year":2023,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mitacs","funders":"","keywords":"Symmetry (geometry); Sequence (biology); Feature (linguistics); Conserved quantity; Invariant (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610281,0.0007665842,0.0008485552,0.001298435,0.0007308985,0.001793334,0.001643053,0.001231687,0.01356131],"category_scores_gemma":[0.00878644,0.0003352753,0.0007323826,0.0009792709,0.001366981,0.002940813,0.001570509,0.001914401,0.003401206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007849486,"about_ca_system_score_gemma":0.0008783595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054766,"about_ca_topic_score_gemma":0.00244602,"domain_scores_codex":[0.9994645,0.0002197288,0.00001989522,0.000143177,0.0001057766,0.00004699568],"domain_scores_gemma":[0.9974098,0.001417368,0.0002203487,0.0005277721,0.0003242461,0.0001005871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002634448,0.0002302462,0.003718093,0.0002935588,0.000116145,0.0001090966,0.0001001756,0.1479589,0.001538026,0.4765011,0.06231675,0.3068545],"study_design_scores_gemma":[0.00001842779,0.00001232675,0.0002323984,0.00002286483,0.000006344128,0.00001258124,0.00001245282,0.7460757,0.0004797626,0.250374,0.002744994,0.000008138863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06419146,0.002142633,0.8833412,0.003679294,0.000715811,0.0001083396,0.002587224,0.005287468,0.03794665],"genre_scores_gemma":[0.7552344,0.0009302931,0.2045416,0.0005990075,0.000701455,0.0001912001,0.005547032,0.001382216,0.03087278],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01356131,"threshold_uncertainty_score":0.04536712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350989290252613,"score_gpt":0.2686241143009193,"score_spread":0.233525185275658,"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."}}