{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008384511,0.0001920036,0.0001235743,0.0004210199,0.0003585465,0.0001545482,0.0005388375,0.0003864445,0.002990211],"category_scores_gemma":[0.0001050575,0.000113897,0.0001490136,0.0002130896,0.000257679,0.0002432252,0.0002378495,0.0005645025,0.0002584326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003966,"about_ca_system_score_gemma":0.00009998092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000815246,"about_ca_topic_score_gemma":0.0007308588,"domain_scores_codex":[0.9999202,0.000005191458,0.0000014212,0.00002443108,0.00002544849,0.00002334846],"domain_scores_gemma":[0.9999077,0.00002333788,0.00001912033,0.00000799077,0.00001597984,0.00002592009],"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":[0.000121543,0.00003036335,0.001219912,0.00003542301,0.00001055228,0.00009711363,0.000119196,0.0001432629,0.9962353,0.0002290243,0.0002154605,0.001542868],"study_design_scores_gemma":[0.00002059961,0.0003233616,0.01828573,0.000008885176,0.00002324667,0.0002512928,0.0001800812,0.003185164,0.9754964,0.0002261945,0.001980722,0.00001830304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966739,0.0001789399,0.0008546016,0.00006065621,0.000009149967,0.000002983872,0.00005601699,0.00005191888,0.002111803],"genre_scores_gemma":[0.9970049,0.00007755326,0.0008538633,0.00004606198,0.000007881344,0.000009634447,0.0001432508,0.00002040342,0.001836327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002990211,"threshold_uncertainty_score":0.01000327,"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."}}