{"id":"W3100475764","doi":"","title":"INFRARED BANDS OF CS2 DIMER AND TRIMER AT 4.5 \\t μm","year":2019,"lang":"en","type":"article","venue":"IDEALS (University of Illinois Urbana-Champaign)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Trimer; Dimer; Infrared; Crystallography; Materials science; Chemistry; Optics; Physics; Nuclear magnetic resonance","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001351666,0.0001812918,0.0004192297,0.0001277575,0.0001368328,0.000007170112,0.0002888481,0.0001968202,0.007383938],"category_scores_gemma":[0.00001571995,0.0002162929,0.000159389,0.000235709,0.0002188417,0.0001532087,0.0001651776,0.0001538812,0.0001013414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007096364,"about_ca_system_score_gemma":0.00005625162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004951292,"about_ca_topic_score_gemma":0.00009601485,"domain_scores_codex":[0.9988965,0.0000229924,0.0002230981,0.0003676645,0.0002416431,0.0002481423],"domain_scores_gemma":[0.9987592,0.0001589701,0.0002637955,0.0005594747,0.0001173243,0.0001412295],"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":[0.0007364007,0.0003767384,0.0991868,0.0006189122,0.000623486,0.00001560454,0.006228484,0.0001307124,0.8625858,0.008792073,0.01929396,0.001411064],"study_design_scores_gemma":[0.0112535,0.000532627,0.09157009,0.0004279431,0.0009415103,0.0000349299,0.01262967,0.003610571,0.6534374,0.007546701,0.216019,0.001996072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464858,0.000646401,0.0002959325,0.0001753115,0.00003410522,0.0001478743,0.0001778641,0.00005457098,0.05198217],"genre_scores_gemma":[0.9613644,0.0001955095,0.000479589,0.00004626692,0.0000260243,7.914815e-7,0.00005137633,0.00001782761,0.03781819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2091484,"threshold_uncertainty_score":0.9935234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005860873349147301,"score_gpt":0.1854186112817394,"score_spread":0.1795577379325921,"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."}}