{"id":"W4221113574","doi":"10.1016/j.jmr.2022.107211","title":"Dynamic mechanical analysis with portable NMR","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Waveform; Vibration; Phase (matter); Dynamic modulus; Dynamic mechanical analysis; Measure (data warehouse); Materials science; Amplitude; Acoustics; Work (physics); Pulse sequence; Pulse (music); Rheology; Dynamic range; Mechanics; Phase angle (astronomy); Nuclear magnetic resonance; Physics; Optics; Computer science; Composite material; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001835976,0.00007533957,0.0002060104,0.00008590558,0.0001569041,0.000022332,0.0002334584,0.000007888189,0.003781674],"category_scores_gemma":[0.00000115809,0.00006120923,0.0001327028,0.0006079858,0.00002217134,0.00005405863,0.00003978027,0.0002577523,0.000004322259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003004166,"about_ca_system_score_gemma":0.00008083066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003164803,"about_ca_topic_score_gemma":0.00000640727,"domain_scores_codex":[0.9991541,0.00003516062,0.0002635422,0.0001118318,0.0002876652,0.0001477054],"domain_scores_gemma":[0.9994343,0.00002951294,0.0002475614,0.0001727455,0.0000545613,0.00006133949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001351067,0.004206324,0.2709047,0.0000283964,0.002246459,0.0002760074,0.0009138039,0.04498301,0.02104082,0.3217021,0.02332099,0.3090263],"study_design_scores_gemma":[0.003202121,0.003239974,0.1652058,0.00003302902,0.002189749,0.000138276,0.001688069,0.02341918,0.001705647,0.03144685,0.7670205,0.0007108421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491869,0.003375816,0.03711371,0.001617554,0.00007097872,0.0001815527,0.00007046756,0.00001189051,0.00837109],"genre_scores_gemma":[0.9906579,0.00001405747,0.006893591,0.00005424163,0.00005228094,0.00001999103,0.000004162955,0.000008027498,0.002295697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7436995,"threshold_uncertainty_score":0.997129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004032999227402816,"score_gpt":0.2692407893970432,"score_spread":0.2652077901696404,"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."}}