{"id":"W3196230282","doi":"10.1016/b978-0-12-823572-0.00001-1","title":"Artificial Intelligence in Heat Storage Applications","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal energy storage; Computer science; Ranging; Thermodynamics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008094928,0.0002436773,0.0002863015,0.0001476987,0.00003479247,0.00003498963,0.0001291109,0.0002608475,0.0002536557],"category_scores_gemma":[0.00000210448,0.0002870856,0.00009333824,0.00002970708,0.00003384528,0.00002291315,0.00001693022,0.0004037833,0.0001389343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169404,"about_ca_system_score_gemma":0.00004772107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.021151e-7,"about_ca_topic_score_gemma":0.00009014669,"domain_scores_codex":[0.9990685,0.000008953521,0.0003465607,0.0002512187,0.0001369447,0.0001878195],"domain_scores_gemma":[0.9995449,0.00002737914,0.000007687346,0.0003115443,0.00003668445,0.00007181139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001225621,0.000003356812,3.781891e-7,0.0001033525,0.00001798862,0.00001630377,0.0001284629,0.0129067,0.00005919234,0.02063164,0.000007889571,0.9661235],"study_design_scores_gemma":[0.00003879223,0.0000139502,0.000003317326,0.0003699662,0.00005059575,0.000008805509,0.00001603203,0.01138401,0.0008582502,0.01257268,0.9740546,0.0006290472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005514483,0.001384976,0.04694365,0.00002372839,0.0001891216,0.0004522341,0.00002851032,0.0001493966,0.9508229],"genre_scores_gemma":[0.01775564,0.001668765,0.003536513,0.0001788385,0.0008417648,0.0004658499,0.0003493834,0.0003399668,0.9748633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9740466,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793060838120393,"score_gpt":0.231238271483975,"score_spread":0.2133076631027711,"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."}}