{"id":"W4411329006","doi":"10.1016/j.cryogenics.2025.104138","title":"Experimental characterization of neon pulsating heat pipes for cryocooler-based HTS magnets","year":2025,"lang":"en","type":"article","venue":"Cryogenics","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Paul Scherrer Institut; Physicians' Services Incorporated Foundation","keywords":"Cryocooler; Materials science; Magnet; Nuclear engineering; Neon; Characterization (materials science); Cryogenics; Superconducting magnet; Thermodynamics; Mechanical engineering; Physics; Atomic physics; Argon; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007499976,0.0005326104,0.0005463879,0.0002482526,0.000315088,0.0003278155,0.000584588,0.0004825999,0.00144369],"category_scores_gemma":[0.001235039,0.0002716414,0.0002058387,0.0003464438,0.0005405002,0.0005016711,0.0004977916,0.0004242753,0.0002807742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712645,"about_ca_system_score_gemma":0.0002682797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001697417,"about_ca_topic_score_gemma":0.000201972,"domain_scores_codex":[0.9994687,0.00008877986,0.00003487316,0.0001125122,0.0002195228,0.00007560691],"domain_scores_gemma":[0.9992162,0.0002619561,0.0001892509,0.00009387123,0.0001917506,0.00004685331],"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":[0.0003124696,0.00005814656,0.0008825928,0.0003159341,0.000008868461,0.000138249,0.0002807669,0.001468379,0.9913787,0.0002033385,0.0001743955,0.004778264],"study_design_scores_gemma":[0.00002010578,0.001256929,0.004980028,0.00001809354,0.00001310196,0.0001047848,0.00009173992,0.002433165,0.9892887,0.0000391256,0.001738336,0.00001591769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901854,0.0002249915,0.008107521,0.00003753258,0.0000302298,0.00009424412,0.0003019478,0.0001224281,0.0008956628],"genre_scores_gemma":[0.9923041,0.0002251593,0.006368072,0.00001238792,0.0000171612,0.0001405925,0.0001609026,0.00003928984,0.0007322668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00144369,"threshold_uncertainty_score":0.004829586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076557009714175,"score_gpt":0.2449779159367701,"score_spread":0.2342123458396284,"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."}}