{"id":"W4301239499","doi":"10.48550/arxiv.1607.07430","title":"Stiff-spring approximation revisited: inertial effects in\\n non-equilibrium trajectories","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Statistical physics; Work (physics); Skewness; Inertial frame of reference; Brownian motion; Skew; Limit (mathematics); Gaussian; Physics; Mathematics; Classical mechanics; Mathematical analysis; Statistics; Quantum mechanics","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":[0.002160585,0.0006792616,0.0007666606,0.001089225,0.001368543,0.00142478,0.002171432,0.00178853,0.003260487],"category_scores_gemma":[0.007267572,0.0005303553,0.001059421,0.0006425238,0.002551377,0.00323493,0.001920156,0.002017195,0.0006958392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117441,"about_ca_system_score_gemma":0.001329777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008624276,"about_ca_topic_score_gemma":0.005268351,"domain_scores_codex":[0.9991558,0.00019924,0.00004423193,0.0001278012,0.0003384293,0.000134661],"domain_scores_gemma":[0.9979401,0.0009601475,0.0002940486,0.0004050059,0.0002403204,0.0001603717],"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":[0.0001288834,0.0001022034,0.002891345,0.0002054015,0.00005414234,0.0009121016,0.0007271717,0.2841555,0.006901634,0.684633,0.002590673,0.01669783],"study_design_scores_gemma":[0.00001506242,0.00003141894,0.0007112036,0.00004107294,0.000009614997,0.00009139889,0.00003368356,0.9382165,0.00074823,0.05816117,0.001913751,0.00002693817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1963013,0.003505228,0.7445421,0.003295921,0.0007960293,0.0002258351,0.0003316049,0.0007225462,0.05027957],"genre_scores_gemma":[0.9068605,0.003260778,0.06372516,0.001330807,0.0003937854,0.0003974075,0.0003731626,0.0004386865,0.02321973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008624276,"threshold_uncertainty_score":0.0171482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287407956729038,"score_gpt":0.1937803801177415,"score_spread":0.1709063005504512,"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."}}