{"id":"W3199713517","doi":"10.48550/arxiv.2101.03557","title":"","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Physics; Mathematical physics; Anharmonicity; Humanities; Quantum mechanics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005045415,0.0005585755,0.0006584969,0.0008948505,0.0009660393,0.001858888,0.00125515,0.001174253,0.03050916],"category_scores_gemma":[0.001726072,0.0002350085,0.0007230021,0.0003752112,0.001103063,0.001820596,0.00230083,0.001382942,0.005225184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009121769,"about_ca_system_score_gemma":0.0009825905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971841,"about_ca_topic_score_gemma":0.003166822,"domain_scores_codex":[0.9996626,0.00006155112,0.00001547588,0.00007177948,0.0001053837,0.00008317414],"domain_scores_gemma":[0.9996124,0.00005220078,0.00004857126,0.00009548304,0.00009448797,0.00009684971],"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":[0.00002342621,0.00003020403,0.0006966586,0.00006135962,0.00001357319,0.00009393023,0.00005575839,0.008602253,0.001121736,0.9771785,0.005937961,0.006184706],"study_design_scores_gemma":[0.00001712731,0.0000409964,0.0006913365,0.00004234435,0.00001191184,0.0001948867,0.0001137865,0.2025353,0.001166038,0.7766349,0.01852974,0.00002171842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1228638,0.001264313,0.4984494,0.003215255,0.001128371,0.0001487751,0.001882872,0.0009222779,0.3701248],"genre_scores_gemma":[0.8005874,0.0006541535,0.09564146,0.001366168,0.0005295178,0.0002722325,0.002385734,0.0009704254,0.09759286],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9694908,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299881061730203,"score_gpt":0.2117515453947663,"score_spread":0.08176343922174595,"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."}}