{"id":"W4405993193","doi":"10.3390/su17010255","title":"Mapping Scientific and Topic Evolution Around Lithium-Based Clean Energy Technologies: A Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Instituto Politécnico Nacional","keywords":"Clean energy; Lithium (medication); Environmental science; Data science; Computer science; Earth science; Environmental protection; Geology; Psychology","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003827872,0.0005640102,0.001229529,0.1728006,0.00135951,0.004173287,0.0006241594,0.0005766621,0.004474058],"category_scores_gemma":[0.02411227,0.000229538,0.001441419,0.218894,0.0008047574,0.003116792,0.002425125,0.0004198325,0.0008223852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348257,"about_ca_system_score_gemma":0.004835629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009097331,"about_ca_topic_score_gemma":0.009678133,"domain_scores_codex":[0.9933519,0.001050681,0.001746709,0.0007809137,0.002616538,0.0004531522],"domain_scores_gemma":[0.9728901,0.01574458,0.005233182,0.0007459367,0.004753628,0.0006326555],"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":[0.0004247851,0.0001672015,0.4469058,0.04089373,0.001924704,0.001298129,0.01283913,0.002412396,0.006376509,0.009701172,0.03005199,0.4470044],"study_design_scores_gemma":[0.00006288803,0.0001791074,0.8281912,0.005707174,0.002543963,0.001745136,0.01594893,0.004048071,0.002963808,0.004678387,0.1337757,0.0001556669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7609146,0.06677115,0.005202739,0.002846162,0.0002164287,0.0009565086,0.1275854,0.0006249965,0.03488206],"genre_scores_gemma":[0.8697721,0.04989807,0.01174163,0.0001972906,0.0002922829,0.001396921,0.06277883,0.0001425151,0.00378039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8271994,"threshold_uncertainty_score":0.02024394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008497630988283425,"score_gpt":0.2597545300393024,"score_spread":0.2512568990510189,"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."}}