{"id":"W2360392856","doi":"","title":"Development of ZLR Type Dental Auto Thermal Cycling Machine","year":2009,"lang":"en","type":"article","venue":"Chinese Medical Equipment Journal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Temperature cycling; Cycling; Test (biology); Mechanical engineering; Thermal fatigue; Engineering; Computer science; Thermal; Reliability engineering; Geology; Physics","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":[0.001168728,0.0005129771,0.000680843,0.001122613,0.0003092498,0.0004504113,0.001677191,0.0007800808,0.005259735],"category_scores_gemma":[0.001018145,0.0004715574,0.0005715752,0.0002999299,0.0003506005,0.0008101526,0.0005947001,0.0005957323,0.002324021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839241,"about_ca_system_score_gemma":0.0006975118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002718758,"about_ca_topic_score_gemma":0.0003180068,"domain_scores_codex":[0.9983757,0.00008308393,0.0001052543,0.0002660817,0.001100333,0.00006966594],"domain_scores_gemma":[0.9991641,0.00009422878,0.00007667989,0.0001386376,0.0004464659,0.00007992129],"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":[0.0001699586,0.000200739,0.003048594,0.001092515,0.00002677825,0.0003018434,0.0002477886,0.002327915,0.6839461,0.004702553,0.005709854,0.2982253],"study_design_scores_gemma":[0.0003647686,0.004497863,0.0270416,0.0003093254,0.0001732047,0.008036772,0.000194503,0.0738994,0.6513494,0.00212613,0.2316023,0.0004046888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08496623,0.002242415,0.88516,0.0004463719,0.0007026878,0.002137968,0.0006223653,0.005919657,0.01780235],"genre_scores_gemma":[0.1730445,0.0008268669,0.8114775,0.0002222482,0.0001757919,0.001059389,0.0006172732,0.0002764073,0.01229999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005259735,"threshold_uncertainty_score":0.01759553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008181384994568107,"score_gpt":0.2556562743344897,"score_spread":0.2474748893399216,"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."}}