{"id":"W4400377737","doi":"10.48550/arxiv.2407.01855","title":"What is the spectral density of the reservoir for a lossy quantized cavity?","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; CMC Microsystems; National Science Foundation","keywords":"Lossy compression; Geology; Petroleum engineering; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007709817,0.0003002846,0.0004336129,0.0004951382,0.0005776627,0.001360189,0.001400622,0.001256673,0.003339312],"category_scores_gemma":[0.00355257,0.0003593143,0.0002022715,0.0002993303,0.002603179,0.003420411,0.0005777334,0.0009683287,0.0004899645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007070855,"about_ca_system_score_gemma":0.000446486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299889,"about_ca_topic_score_gemma":0.001056915,"domain_scores_codex":[0.9998104,0.00004916835,0.000006080059,0.0000459496,0.00005388965,0.00003456418],"domain_scores_gemma":[0.9993871,0.0003031876,0.00008820686,0.00007909768,0.00005698942,0.00008545088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008788676,0.0001138297,0.002096224,0.0003420451,0.00002816116,0.0003525042,0.0005639117,0.03732596,0.05535704,0.8879887,0.001762234,0.01398158],"study_design_scores_gemma":[0.00002311186,0.0000463522,0.003303624,0.00007751716,0.00001411622,0.0004769463,0.0003441662,0.5131005,0.01162739,0.4680632,0.002821561,0.0001015254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.576992,0.001343689,0.3842565,0.00736235,0.0002856122,0.00006188319,0.0003878337,0.000445461,0.02886471],"genre_scores_gemma":[0.977609,0.0005798521,0.01766342,0.0002548489,0.00008840184,0.00003465725,0.0000658898,0.0001348895,0.003568933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003339312,"threshold_uncertainty_score":0.01117116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06544579152148575,"score_gpt":0.2006084977964695,"score_spread":0.1351627062749838,"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."}}