{"id":"W2030303554","doi":"10.1364/boe.5.000701","title":"Law of cooling, heat conduction and Stefan-Boltzmann radiation laws fitted to experimental data for bones irradiated by CO2 laser","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Thermal conduction; Atmospheric temperature range; Law; Thermodynamics; Rate equation; Boltzmann constant; Range (aeronautics); Heat equation; Materials science; Physics; Mechanics; Classical mechanics; Kinetics; Quantum mechanics","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":[0.0008790251,0.0004157604,0.0003648063,0.0009130629,0.000173429,0.0002368163,0.0007059981,0.0004841609,0.002740444],"category_scores_gemma":[0.003258475,0.0002330698,0.0005905213,0.0006518789,0.000448596,0.0004923457,0.0001546868,0.0007565741,0.0009084209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004994991,"about_ca_system_score_gemma":0.0003813288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797848,"about_ca_topic_score_gemma":0.001511004,"domain_scores_codex":[0.9995105,0.00006467457,0.0000392872,0.0001359917,0.0001958481,0.00005361332],"domain_scores_gemma":[0.9980983,0.001144001,0.000239251,0.0001520966,0.0003427569,0.00002348053],"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":[0.001939689,0.0002424952,0.03050089,0.001272119,0.0001447687,0.0006413224,0.001573686,0.2340679,0.6694854,0.005577113,0.002556334,0.05199832],"study_design_scores_gemma":[0.00004673739,0.00104528,0.06298477,0.00009093667,0.00008568125,0.00123297,0.0003796921,0.4880366,0.4327183,0.002612051,0.01060406,0.000162932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8422589,0.002263379,0.1441704,0.0002018474,0.000095745,0.0002793889,0.002299352,0.001118331,0.007312641],"genre_scores_gemma":[0.9785025,0.0009670715,0.01525743,0.00004393051,0.00001224905,0.0002955255,0.001112684,0.0001722093,0.003636406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740444,"threshold_uncertainty_score":0.009167671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977229189436791,"score_gpt":0.3318408960022488,"score_spread":0.3020686041078808,"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."}}