{"id":"W3152849037","doi":"","title":"Development and accuracy of ultra-accelerated quantum chemical molecular dynamics method for a variety of tribological applications","year":2013,"lang":"en","type":"article","venue":"5th World Tribology Congress, WTC 2013","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Variety (cybernetics); Tribology; Dynamics (music); Nanotechnology; Quantum; Quantum chemical; Molecular dynamics; Biological system; Biochemical engineering; Statistical physics; Materials science; Computer science; Chemistry; Physics; Artificial intelligence; Computational chemistry; Engineering; Molecule; Quantum mechanics; Metallurgy; Biology","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":[0.0008249666,0.0003254448,0.0002923571,0.0003506697,0.0006635759,0.0005736251,0.0012074,0.0006815519,0.002599305],"category_scores_gemma":[0.001880577,0.0002927037,0.0001919709,0.0003128624,0.0002783131,0.001194524,0.0005193021,0.001102011,0.0004664391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082176,"about_ca_system_score_gemma":0.001132504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508582,"about_ca_topic_score_gemma":0.00419302,"domain_scores_codex":[0.9997045,0.00004935048,0.00001204231,0.0000484964,0.0001690563,0.00001648085],"domain_scores_gemma":[0.9992404,0.0002206201,0.00004358385,0.0001272592,0.0003387389,0.00002941475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004610014,0.0003454058,0.008851415,0.0005150544,0.0001411619,0.0001899536,0.0005392959,0.1292202,0.4123067,0.1148614,0.009111218,0.3234572],"study_design_scores_gemma":[0.00002072142,0.00004597887,0.0008628689,0.00001116669,0.00001405949,0.00004125901,0.00002370261,0.9211009,0.06770558,0.002488734,0.007657454,0.00002748293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1067354,0.001234335,0.8772203,0.0006771398,0.0004138176,0.0001231396,0.0003890546,0.002226207,0.01098063],"genre_scores_gemma":[0.4392662,0.000487094,0.5553229,0.00009475221,0.00002795546,0.0001788117,0.000234942,0.0002884775,0.004098917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002599305,"threshold_uncertainty_score":0.008695543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757315990168281,"score_gpt":0.3247533642618612,"score_spread":0.2971802043601784,"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."}}