{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004971789,0.0008279793,0.0004397111,0.001112089,0.0005455498,0.000815359,0.000804294,0.0005243911,0.01799966],"category_scores_gemma":[0.0009978048,0.0004700311,0.0002747256,0.000974715,0.000430607,0.0009252487,0.000970613,0.0006954074,0.002818918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162672,"about_ca_system_score_gemma":0.0003820748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014387,"about_ca_topic_score_gemma":0.002837704,"domain_scores_codex":[0.9995306,0.00004262418,0.00002305922,0.0001281547,0.0002416329,0.00003387634],"domain_scores_gemma":[0.9995017,0.000133383,0.0000523795,0.0001406887,0.0001456761,0.00002610368],"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":[0.000190752,0.0001757478,0.003125797,0.0002742955,0.00005582141,0.0001431353,0.0001275225,0.002095881,0.8552793,0.001994819,0.00553379,0.1310033],"study_design_scores_gemma":[0.000143495,0.000816661,0.03352483,0.0000990589,0.0001508816,0.00159436,0.0004457564,0.1175612,0.7740695,0.005937232,0.06543197,0.0002250058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1945137,0.0005409631,0.7557065,0.0005456522,0.0003376105,0.0005441831,0.005256472,0.01005433,0.03250055],"genre_scores_gemma":[0.5723072,0.0006987497,0.3970239,0.000470096,0.0003293785,0.0005741669,0.003052307,0.001028329,0.02451588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01799966,"threshold_uncertainty_score":0.06021482,"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."}}