{"id":"W2337512620","doi":"10.1615/tfesc1.mph.012947","title":"THERMAL MODELING OF TABLETS: TEMPERATURE MANAGEMENT USING PHASE CHANGE MATERIALS","year":2016,"lang":"en","type":"article","venue":"Proceeding of First Thermal and Fluids Engineering Summer Conference","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Thermal management of electronic devices and systems; Phase change; Materials science; Phase (matter); Phase-change material; Thermal; Temperature measurement; Computer science; Thermodynamics; Chemistry; Mechanical engineering; Physics; Engineering","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":[0.0001167109,0.0003876838,0.0004450298,0.0001927395,0.0002814313,0.0008082615,0.0008108882,0.0009823182,0.002842349],"category_scores_gemma":[0.0004365152,0.0002997938,0.0006008664,0.0003167566,0.0002821677,0.0006792053,0.0002605017,0.0003829676,0.0004244496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004155756,"about_ca_system_score_gemma":0.0004023939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0058873,"about_ca_topic_score_gemma":0.003909129,"domain_scores_codex":[0.9999,0.00002111285,0.000005236527,0.00001807183,0.00003883025,0.00001666068],"domain_scores_gemma":[0.9998891,0.00005269145,0.00001483209,0.00001200812,0.00002232505,0.000009028398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009430843,0.00004668485,0.0004423447,0.00006183216,0.000009140795,0.00007018742,0.00003088978,0.9814901,0.01089839,0.001443023,0.0003806167,0.005032537],"study_design_scores_gemma":[0.000006435665,0.00002352654,0.0001984891,0.000002233258,0.0000035233,0.00001286211,0.000005819254,0.9967076,0.002453895,0.0001200528,0.0004608018,0.000004769389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7071778,0.001668873,0.2242694,0.0006254615,0.0001488167,0.0002007408,0.001139007,0.0006980518,0.06407191],"genre_scores_gemma":[0.9819481,0.0003526421,0.009535233,0.00003451481,0.00001598727,0.00005523262,0.0001380262,0.00007319395,0.007846928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0058873,"threshold_uncertainty_score":0.01170605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455513838171117,"score_gpt":0.2332018271988569,"score_spread":0.1886466888171457,"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."}}