{"id":"W2110320947","doi":"10.1002/aenm.201201108","title":"Ultrathin MoS<sub>2</sub>/Nitrogen‐Doped Graphene Nanosheets with Highly Reversible Lithium Storage","year":2013,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":465,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Graphene; Materials science; Lithium (medication); Nanotechnology; Electrochemistry; Doping; Optoelectronics; Electrode","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":[],"consensus_categories":[],"category_scores_codex":[0.00006734165,0.0003047341,0.0001435578,0.0001761019,0.0001645753,0.0003104832,0.0003677261,0.0003349923,0.0013019],"category_scores_gemma":[0.0001559299,0.000178522,0.0001678207,0.0002441218,0.0002111818,0.0005069562,0.0003620281,0.0002507087,0.0002275275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182821,"about_ca_system_score_gemma":0.0001112976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005662463,"about_ca_topic_score_gemma":0.002377297,"domain_scores_codex":[0.9999311,0.000004304208,0.00000511267,0.000009680295,0.00003133286,0.00001843076],"domain_scores_gemma":[0.999948,0.000007833026,0.00001197854,0.000008946646,0.000009668917,0.00001366839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009340516,0.00002714597,0.000300743,0.00005589937,0.00001568403,0.0002085144,0.00002597753,0.0005627162,0.9922014,0.0004183987,0.0004534956,0.00563655],"study_design_scores_gemma":[0.00002066128,0.000158235,0.003271671,0.000008156509,0.00002035084,0.0003124207,0.00003634599,0.003208575,0.9888999,0.0002824584,0.003763353,0.00001773436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912028,0.0007992625,0.002782399,0.000107906,0.000116305,0.00002483187,0.000375485,0.0001827402,0.004408365],"genre_scores_gemma":[0.9936717,0.0003343783,0.003184316,0.00004155541,0.00001230644,0.00001571275,0.0002155132,0.00001905447,0.002505592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013019,"threshold_uncertainty_score":0.004355311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004904673205227284,"score_gpt":0.183324181793821,"score_spread":0.1784195085885937,"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."}}