{"id":"W4292756291","doi":"","title":"HIGH RESOLUTION FAR-INFRARED SPECTROSCOPY OF TRANS- AND GAUCHE-BUTADIENE","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infrared spectroscopy; Spectroscopy; Resolution (logic); Infrared; Materials science; High resolution; Nuclear magnetic resonance; Optics; Computer science; Physics; Remote sensing; Artificial intelligence; Geology; Astronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803799,0.0003572946,0.0002149211,0.0005703924,0.0003529606,0.0003087366,0.0004238737,0.0003512738,0.00175004],"category_scores_gemma":[0.0001653417,0.0001470486,0.0001195295,0.0004109028,0.0002587038,0.0004114353,0.0002491425,0.0006175213,0.0004042086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711724,"about_ca_system_score_gemma":0.0001057051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009798491,"about_ca_topic_score_gemma":0.001623693,"domain_scores_codex":[0.9998012,0.00002121189,0.000005285508,0.00006011712,0.00006566536,0.00004653748],"domain_scores_gemma":[0.9999164,0.00002612435,0.00001494102,0.00001285386,0.00001796383,0.0000116311],"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":[0.00007579913,0.00001621227,0.0004822554,0.00004437346,0.000007857249,0.00006508161,0.00008421817,0.0001185588,0.9966851,0.0004361922,0.000077623,0.00190676],"study_design_scores_gemma":[0.00001260293,0.0001550608,0.01202926,0.0000149981,0.00001794825,0.0003150207,0.0001745518,0.001583549,0.9825576,0.0003364637,0.002777349,0.00002564724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839738,0.002457587,0.005597535,0.00007241956,0.00002256069,0.00001109762,0.0005480768,0.0001069873,0.007209867],"genre_scores_gemma":[0.9915431,0.001168071,0.003750356,0.00004891861,0.000009739085,0.00001212027,0.0004978433,0.00002636569,0.00294356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00175004,"threshold_uncertainty_score":0.005854487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008402435821608734,"score_gpt":0.2127205078886888,"score_spread":0.20431807206708,"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."}}