{"id":"W4389302018","doi":"10.1139/tcsme-2023-0093","title":"Trends in research on latent heat storage using PCM, a bibliometric analysis","year":2023,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermal energy storage; Latent heat; Context (archaeology); Relevance (law); Data science; Computer science; Process engineering; Engineering; Geography; Physics; Meteorology; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009539793,0.0004141771,0.0008774302,0.1182255,0.0009814177,0.006280179,0.0007543245,0.000532734,0.00355992],"category_scores_gemma":[0.05525539,0.0002160755,0.001039655,0.2211085,0.0009218942,0.004912281,0.001367263,0.0005254521,0.0009079186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003938393,"about_ca_system_score_gemma":0.007441971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01381868,"about_ca_topic_score_gemma":0.02214523,"domain_scores_codex":[0.987801,0.002095877,0.002965599,0.001137865,0.005539364,0.0004605021],"domain_scores_gemma":[0.9158175,0.0437603,0.01606356,0.002614675,0.02049474,0.001249237],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002566714,0.0001002682,0.3865569,0.02443931,0.001135295,0.0006270646,0.01028031,0.002193356,0.004538981,0.02300808,0.03032369,0.5165401],"study_design_scores_gemma":[0.00002184429,0.000205558,0.7446197,0.008522926,0.001019342,0.001541838,0.01474708,0.0039182,0.004002644,0.006045931,0.2152217,0.0001332633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5561236,0.2160494,0.009114215,0.013461,0.0007183545,0.0005609959,0.102764,0.0006712455,0.1005372],"genre_scores_gemma":[0.8108121,0.1294705,0.0154267,0.0006465266,0.0005946485,0.0005449452,0.03503152,0.0001254375,0.007347654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9904602,"threshold_uncertainty_score":0.05045187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852729140184643,"score_gpt":0.3700852061532379,"score_spread":0.1848122921347737,"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."}}