{"id":"W4412329756","doi":"","title":"Multi-Field Cryogen Free Dissolution-DNP at 3.35, 6.70, and 10.05 T","year":2017,"lang":"en","type":"article","venue":"","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Dissolution; Field (mathematics); Materials science; Chemistry; Mathematics; Physical chemistry; Pure mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004492939,0.0001395699,0.0001307716,0.00004036463,0.0002456807,0.00007018623,0.000413552,0.0001629694,0.0004598954],"category_scores_gemma":[0.0001732988,0.0001217217,0.00004503351,0.00002362295,0.00009804334,0.000150524,0.0003553137,0.00009961848,0.00009807229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003416262,"about_ca_system_score_gemma":0.000003931413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006065721,"about_ca_topic_score_gemma":0.0005796228,"domain_scores_codex":[0.9994009,0.000002707556,0.000102286,0.0001633541,0.00008264486,0.0002480848],"domain_scores_gemma":[0.999053,0.00003241149,0.00002355417,0.0008184708,0.00001320928,0.00005933016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000340763,0.00005769098,0.02718173,0.0001055263,0.0002727941,0.00006558736,0.0003271575,0.0002268786,0.3507787,0.003081392,0.5910337,0.02683477],"study_design_scores_gemma":[0.003884636,0.0002354806,0.08986352,0.00009478359,0.0001216028,0.00007550603,0.0009204379,0.06028947,0.5285352,0.00127879,0.3129944,0.001706149],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719368,0.001551717,0.00229741,0.001766627,0.0004073655,0.0001625282,0.00001571313,0.001579987,0.02028182],"genre_scores_gemma":[0.979609,0.0003041531,0.00286688,0.00003182913,0.00004871098,0.00002055201,0.000001756798,0.00002201552,0.01709511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2780393,"threshold_uncertainty_score":0.5035532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723794609210306,"score_gpt":0.2338589206807974,"score_spread":0.2166209745886943,"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."}}