{"id":"W3203737535","doi":"","title":"Investigation of non S states using Monte Carlo Hamiltonian","year":2005,"lang":"en","type":"article","venue":"High Energy Physics and Nuclear Physics","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Physics; Monte Carlo method; Hamiltonian (control theory); Statistical physics; Hybrid Monte Carlo; Monte Carlo molecular modeling; Quantum Monte Carlo; Markov chain Monte Carlo; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000006627536,0.0001725211,0.0002098234,0.000009036204,0.00009547758,0.00002127721,0.00009128637,0.00005603338,0.00002435354],"category_scores_gemma":[0.000001982296,0.0001724975,0.00009030995,0.0001087139,0.000129594,0.0002050776,0.00007111581,0.0001360144,0.000003626729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003477733,"about_ca_system_score_gemma":0.00001248033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002639701,"about_ca_topic_score_gemma":0.000004419421,"domain_scores_codex":[0.9992585,0.000007044619,0.0001800515,0.0002319054,0.0001472713,0.0001752812],"domain_scores_gemma":[0.9994596,0.00002782802,0.0001319968,0.0002109396,0.00007423549,0.00009544884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002195876,0.00009033237,0.0000357381,0.00004729467,0.00005960639,8.225584e-7,0.0002883351,0.007872662,0.9237688,0.05147456,0.0001068505,0.01623307],"study_design_scores_gemma":[0.0003582834,0.00002669459,0.00005428408,0.0000848508,0.00006009574,0.000001278755,0.00006979876,0.0844539,0.8513661,0.05780223,0.005427347,0.000295145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965156,0.0000301072,0.002180369,0.00005240452,0.00002659042,0.00001488025,0.00003481874,0.00003702836,0.001108148],"genre_scores_gemma":[0.997137,0.00003955013,0.002040039,0.0001416047,0.0004598727,0.000002941293,0.00003424006,0.00004399873,0.000100748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07658123,"threshold_uncertainty_score":0.7034245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009763116249005718,"score_gpt":0.213564930374188,"score_spread":0.2038018141251823,"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."}}