{"id":"W2323675236","doi":"10.1021/jp204068w","title":"High-Resolution Fourier Transform Infrared Absorption Spectroscopy of the ν<sub>6</sub> Band of c-C<sub>3</sub>H<sub>2</sub>","year":2011,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Molecular Spectroscopy and Structure","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fourier transform spectroscopy; Infrared; Infrared spectroscopy; Resolution (logic); Fourier transform; Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Absorption (acoustics); Spectroscopy; High resolution; Absorption spectroscopy; Materials science; Infrared spectroscopy correlation table; Chemistry; Optics; Physics; Remote sensing; Geology; Computer science; Astronomy; Artificial intelligence","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":[0.000105163,0.000206529,0.0001475734,0.0001867792,0.0001733997,0.0001214121,0.0003176005,0.0002485565,0.002158434],"category_scores_gemma":[0.0001774674,0.00008977285,0.0001307004,0.0002528606,0.0001254916,0.0002104953,0.0001249763,0.0005187836,0.0003707054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106461,"about_ca_system_score_gemma":0.0000902729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004898008,"about_ca_topic_score_gemma":0.0007393524,"domain_scores_codex":[0.9999303,0.000004540289,0.000001195556,0.00001393029,0.00003998044,0.00001010768],"domain_scores_gemma":[0.9999256,0.00001895871,0.00001471983,0.000008254673,0.00002513298,0.000007369539],"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":[0.00003791302,0.00001547704,0.0006473757,0.00003527528,0.000004941779,0.0000376174,0.00001482381,0.0001608646,0.9938865,0.0001604112,0.0003000807,0.004698601],"study_design_scores_gemma":[0.000008942962,0.00009694749,0.0133505,0.000005835452,0.00001266804,0.0003105756,0.00005432238,0.008073262,0.9740514,0.0001724464,0.003851935,0.00001125419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633168,0.001222211,0.02760197,0.0001621884,0.00006046176,0.00001461256,0.001064543,0.0003885014,0.006168617],"genre_scores_gemma":[0.9753509,0.0005967561,0.02074428,0.00005337717,0.00001437496,0.00001561588,0.0008841716,0.00003429908,0.002306094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002158434,"threshold_uncertainty_score":0.007220685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006530487213271135,"score_gpt":0.2041685146637215,"score_spread":0.1976380274504504,"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."}}