{"id":"W3202649081","doi":"10.15278/isms.2021.fi13","title":"TUNNELING DYNAMICS IN &lt;span class=\"roman\"&gt;N&lt;/span&gt;&lt;sub&gt;&lt;span class=\"roman\"&gt;2&lt;/span&gt;&lt;/sub&gt;&amp;#8722;&lt;span class=\"roman\"&gt;D&lt;/span&gt;&lt;sub&gt;&lt;span class=\"roman\"&gt;2&lt;/span&gt;&lt;/sub&gt;&lt;span class=\"roman\"&gt;O&lt;/span&gt; OBSERVED IN THE &lt;span class=\"roman\"&gt;OD&lt;/span&gt; STRETCHING REGION","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 2021 International Symposium on Molecular Spectroscopy","topic":"Molecular Spectroscopy and Structure","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Span (engineering); Life span; Quantum tunnelling; Class (philosophy); Physics; Computer science; Engineering; Gerontology; Quantum mechanics; Structural engineering; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007483202,0.0001423398,0.00009795199,0.0001671538,0.0002690835,0.0001945299,0.0002861761,0.0001695911,0.007216102],"category_scores_gemma":[0.000128233,0.000100985,0.00008445118,0.0001705185,0.0002284034,0.0003127136,0.0001898249,0.000431751,0.0004553712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119459,"about_ca_system_score_gemma":0.0002666433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462911,"about_ca_topic_score_gemma":0.002622516,"domain_scores_codex":[0.9999567,0.000001868451,9.445996e-7,0.00001274108,0.00001313179,0.00001454442],"domain_scores_gemma":[0.9999483,0.0000115132,0.000009857863,0.000006025887,0.00001246906,0.00001175808],"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":[0.0001471115,0.00006342797,0.001960123,0.00004994564,0.000007114257,0.000177019,0.0001701325,0.003040749,0.9758463,0.004046541,0.0009519793,0.01353943],"study_design_scores_gemma":[0.00003819039,0.0003585884,0.03840299,0.00001494844,0.00001783027,0.0002325611,0.0003907246,0.05659052,0.8933623,0.00151261,0.009041368,0.00003729703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907805,0.00007819143,0.002903596,0.00006190314,0.00001682807,0.000007469603,0.0001520212,0.0000653886,0.005934059],"genre_scores_gemma":[0.9912091,0.0001122337,0.001795279,0.00002698755,0.000002168781,0.00001013397,0.0003138825,0.00003638384,0.006493797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007216102,"threshold_uncertainty_score":0.02414024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009980606807572795,"score_gpt":0.2380544281838626,"score_spread":0.2280738213762898,"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."}}