{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009960877,0.0003506169,0.0005205664,0.004554803,0.0001806795,0.0002327668,0.0006629825,0.0001624951,0.0002491546],"category_scores_gemma":[0.002557059,0.0002682411,0.00008883909,0.03108979,0.00008879938,0.0002405773,0.0002283064,0.0004177261,0.0000136862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253931,"about_ca_system_score_gemma":0.0001905064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744188,"about_ca_topic_score_gemma":0.0001677474,"domain_scores_codex":[0.9970663,0.0006577764,0.000455419,0.0009042361,0.0005129362,0.0004033146],"domain_scores_gemma":[0.99714,0.0004947459,0.0001600236,0.001515884,0.0004055881,0.0002837618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004847174,0.003933706,0.5225359,0.0005593951,0.0004118438,0.0002753132,0.003321611,0.001742585,0.0001730497,0.001033404,0.006280834,0.4548852],"study_design_scores_gemma":[0.003971506,0.004005465,0.8434733,0.0000203339,0.0001437969,0.000001684087,0.01298558,0.06861319,0.0002157751,0.0004993315,0.06547575,0.0005942625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921415,0.00009706922,0.0001202082,0.003946685,0.0002223477,0.0008170486,0.0002563497,0.0002652077,0.002133523],"genre_scores_gemma":[0.9985985,0.000004627747,0.0000215538,0.0005795249,0.0002965021,0.00003602409,0.0002878004,0.0000362137,0.0001392144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4542909,"threshold_uncertainty_score":0.999977,"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."}}