{"id":"W1996210969","doi":"10.1021/jp1029745","title":"How Ambiguous Is the Local Kinetic Energy?<sup>†</sup>","year":2010,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Kinetic energy; Expansive; Cauchy stress tensor; Tensor (intrinsic definition); Virial theorem; Statistical physics; Ambiguity; Stress (linguistics); Energy (signal processing); Physics; Classical mechanics; Mathematics; Thermodynamics; Quantum mechanics; Pure mathematics; Computer science","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":[0.001667211,0.0006451882,0.0009527185,0.0008929002,0.001194572,0.003374646,0.001776325,0.002237623,0.01314346],"category_scores_gemma":[0.009171576,0.0003451662,0.0004742285,0.001278327,0.005196034,0.005427607,0.001031752,0.00178469,0.00450295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008434682,"about_ca_system_score_gemma":0.0003366421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005448709,"about_ca_topic_score_gemma":0.0008041491,"domain_scores_codex":[0.9992658,0.0002610891,0.00005051207,0.0001712611,0.0001718315,0.00007954807],"domain_scores_gemma":[0.9950458,0.003126345,0.0004936181,0.0007932201,0.0004104555,0.0001306656],"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":[0.00005398084,0.00001589268,0.001125269,0.0002557196,0.00002290746,0.0002036695,0.0001056825,0.006482045,0.001864682,0.9348766,0.0128973,0.04209616],"study_design_scores_gemma":[0.000003861564,0.00002197297,0.0008025779,0.0001077861,0.00001301641,0.0004033861,0.0002323006,0.04129262,0.002348758,0.9431467,0.01158842,0.00003855472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06877396,0.0156546,0.7389518,0.03513522,0.00767442,0.00007230961,0.001852328,0.0008714455,0.131014],"genre_scores_gemma":[0.8659225,0.00775719,0.08878583,0.006246133,0.002582101,0.0002584425,0.0009844321,0.001356404,0.02610691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01314346,"threshold_uncertainty_score":0.04396921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00550383423879688,"score_gpt":0.2262394961408461,"score_spread":0.2207356619020492,"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."}}