{"id":"W3036373214","doi":"10.1039/d0sc02045a","title":"Multidimensional characterization of the conical intersection seam in the normal mode space","year":2020,"lang":"en","type":"article","venue":"Chemical Science","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Conical surface; Intersection (aeronautics); Conical intersection; Space (punctuation); Characterization (materials science); Geometry; Mode (computer interface); Mathematics; Pure mathematics; Mathematical analysis; Geology; Physics; Computer science; Engineering; Optics; Aerospace engineering","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":[0.004744786,0.00006505384,0.0001004514,0.00005291997,0.0001424702,0.0001011339,0.001156247,0.00003408599,0.0001457849],"category_scores_gemma":[0.006106984,0.00003132315,0.00006019967,0.002245743,0.0006252571,0.0003501212,0.0001805231,0.0001421678,0.00003640147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005646331,"about_ca_system_score_gemma":0.0001816682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001395477,"about_ca_topic_score_gemma":0.000008046248,"domain_scores_codex":[0.9961062,0.0001562078,0.0003702746,0.000373539,0.002818816,0.0001749559],"domain_scores_gemma":[0.9988449,0.0002887475,0.0001703924,0.0002921245,0.0003336604,0.00007015593],"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":[0.00002256843,0.00002453445,0.003908732,8.894109e-7,4.23201e-7,1.052377e-7,0.001483127,0.0001640532,0.9919912,0.0009639831,0.0002592919,0.001181064],"study_design_scores_gemma":[0.0003038935,0.00002518328,0.06246968,0.00001500923,0.000004279249,0.000001963333,0.000650779,0.2259256,0.7087058,0.000961291,0.0008558912,0.00008061118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880366,0.000002106442,0.001691039,0.008842812,0.0003525507,0.0001941507,0.000002808757,0.000006411964,0.000871509],"genre_scores_gemma":[0.9991196,2.869583e-7,0.0001161259,0.0006606198,0.00005214611,0.000004755788,0.000002205963,0.000001438236,0.00004281127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2832854,"threshold_uncertainty_score":0.7311071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910123980825541,"score_gpt":0.3866031089925248,"score_spread":0.1955907109099707,"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."}}