{"id":"W2055703210","doi":"10.1364/ao.52.003856","title":"Temperature control of water-based substances by CO<sub>2</sub> laser for medical applications","year":2013,"lang":"en","type":"article","venue":"Applied Optics","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Laser; Materials science; Temperature control; Optics; Thermal conduction; Beam (structure); Thermal; Laser beams; Temperature measurement; Optoelectronics; Thermodynamics; Composite material; 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":[0.0001949566,0.0003930713,0.000307134,0.0001507887,0.0001928357,0.0003845488,0.0003062939,0.0004780771,0.0005377559],"category_scores_gemma":[0.000299911,0.0002108913,0.0001793747,0.000210744,0.0004404187,0.0004206879,0.0003366116,0.0004070532,0.0002210363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003655388,"about_ca_system_score_gemma":0.0002956238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003470537,"about_ca_topic_score_gemma":0.000682103,"domain_scores_codex":[0.9998366,0.0000221656,0.000007284095,0.00004291353,0.00006304392,0.00002803072],"domain_scores_gemma":[0.999842,0.00004610002,0.00005545472,0.00001024032,0.00003355707,0.00001254888],"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":[0.0000326749,0.000004726077,0.00007052637,0.00003518426,0.000001822958,0.00001466417,0.000009731484,0.0001605311,0.9979954,0.0000957267,0.00003862953,0.001540432],"study_design_scores_gemma":[0.000003780233,0.00005961954,0.0003240937,0.000002264628,0.000003950287,0.00005095708,0.00000928485,0.002034404,0.9967251,0.00003653067,0.0007452655,0.000004715949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956246,0.0100215,0.08759571,0.0004884125,0.000187434,0.0001128013,0.0001397533,0.0003614814,0.005468307],"genre_scores_gemma":[0.9705729,0.002132632,0.02546948,0.0001274382,0.00004435337,0.00007404007,0.00005162849,0.00004222802,0.001485342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005377559,"threshold_uncertainty_score":0.002652168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004252761719629409,"score_gpt":0.2043048939671678,"score_spread":0.2000521322475384,"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."}}