{"id":"W4399114844","doi":"10.48550/arxiv.2405.15852","title":"When to interfere with dark matter? The impact of wave dynamics on statistics","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kavli Institute for Theoretical Physics, University of California, Santa Barbara; Engineering and Physical Sciences Research Council; Institut Périmètre de physique théorique; European Commission; National Science Foundation; Government of Canada; Ministry of Colleges and Universities","keywords":"Dark matter; Dynamics (music); Statistics; Physics; Statistical physics; Econometrics; Mathematics; Astrophysics; Acoustics","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":[0.001303731,0.000193965,0.0004698551,0.0003741031,0.000400504,0.001291483,0.0004829651,0.0004169581,0.001597093],"category_scores_gemma":[0.01131291,0.0002164958,0.0002856165,0.0003160926,0.001372466,0.002049976,0.0005471454,0.0007333398,0.0001608802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304231,"about_ca_system_score_gemma":0.0003974691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872392,"about_ca_topic_score_gemma":0.001750903,"domain_scores_codex":[0.9996431,0.0001415923,0.00001391816,0.00005910793,0.00007780372,0.00006445427],"domain_scores_gemma":[0.9958295,0.002561304,0.0004693799,0.0005606235,0.0002324891,0.0003467244],"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":[0.001173314,0.0003002639,0.1727973,0.0002019507,0.00039016,0.001625396,0.001269309,0.338562,0.03230933,0.3907251,0.005187132,0.05545883],"study_design_scores_gemma":[0.00005558058,0.000118605,0.04746858,0.0000344707,0.00006397438,0.0002645224,0.0004673027,0.7465191,0.01211529,0.1916508,0.00117781,0.00006402132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669754,0.0001005062,0.02762984,0.0007335843,0.00002459988,0.000009726748,0.0001070426,0.0001140006,0.004305378],"genre_scores_gemma":[0.997467,0.00005131925,0.002015406,0.00006330424,0.00001656937,0.000005892458,0.00004010278,0.00004261435,0.0002978005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001872392,"threshold_uncertainty_score":0.006894886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111060055573827,"score_gpt":0.2112081027491967,"score_spread":0.1700975021934585,"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."}}