{"id":"W3092494049","doi":"10.3390/su12198217","title":"A Bibliometric Study on Integrated Solar Combined Cycles (ISCC), Trends and Future Based on Data Analytics Tools","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Chinese academy of sciences; Web of science; Data science; Computer science; Bibliometrics; China; Library science; Geography; Political science; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006415379,0.0004925524,0.0009764824,0.09191403,0.00135498,0.006169887,0.0005298248,0.0006069845,0.002706852],"category_scores_gemma":[0.02737331,0.0002193946,0.000977052,0.205301,0.0008389141,0.006028437,0.001396278,0.0004451947,0.0005677398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003054612,"about_ca_system_score_gemma":0.004205471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005870073,"about_ca_topic_score_gemma":0.006235163,"domain_scores_codex":[0.9923454,0.001369918,0.00133796,0.0006273137,0.003988978,0.0003304456],"domain_scores_gemma":[0.9724443,0.0160846,0.004499674,0.0007949322,0.005765481,0.0004110004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000204396,0.0001707635,0.4771559,0.01080924,0.0008726005,0.001065284,0.01026686,0.003040641,0.002321516,0.02798947,0.01360315,0.4525004],"study_design_scores_gemma":[0.00002986472,0.0002604207,0.7877684,0.004911254,0.0009403196,0.001576811,0.02358512,0.008469671,0.00288939,0.008342266,0.161096,0.0001304244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7309484,0.08831173,0.01554109,0.005986192,0.0006318911,0.0007414815,0.02710451,0.0003833425,0.1303513],"genre_scores_gemma":[0.9315398,0.04005293,0.0103677,0.0002196782,0.0007134478,0.000505515,0.01288712,0.00006508145,0.003648719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9080859,"threshold_uncertainty_score":0.03392822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06366972865372948,"score_gpt":0.306762745093009,"score_spread":0.2430930164392796,"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."}}