{"id":"W2970172463","doi":"10.1039/c9nr06466d","title":"Crystallographic characterization of Er<sub>2</sub>C<sub>2</sub>@<i>C</i><sub>2</sub>(43)-C<sub>90</sub>, Er<sub>2</sub>C<sub>2</sub>@<i>C</i><sub>2</sub>(40)-C<sub>90</sub>, Er<sub>2</sub>C<sub>2</sub>@<i>C</i><sub>2</sub>(44)-C<sub>90</sub>, and Er<sub>2</sub>C<sub>2</sub>@<i>C</i><sub>1</sub>(21)-C<sub>90</sub>: the role of cage-shape on cluster configuration","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Fullerene Chemistry and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; National Natural Science Foundation of China; CancerCare Manitoba Foundation","keywords":"Characterization (materials science); Crystallography; Materials science; Chemistry; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity"],"category_scores_codex":[0.01723698,0.03654865,0.03135639,0.01600113,0.01666403,0.01086289,0.02587792,0.02861005,0.0005950567],"category_scores_gemma":[0.008014642,0.04126694,0.02075843,0.0326182,0.01884696,0.01921442,0.01469825,0.03400956,0.01168432],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0137414,"about_ca_system_score_gemma":0.01411815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005684212,"about_ca_topic_score_gemma":0.004695038,"domain_scores_codex":[0.8600178,0.01147858,0.03542444,0.03514649,0.02611667,0.03181604],"domain_scores_gemma":[0.8907105,0.01279634,0.03170784,0.03138218,0.01544335,0.01795973],"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":[0.0148449,0.01726225,0.00330161,0.01135847,0.01093328,0.002523608,0.005512815,0.00393225,0.8365712,0.00113417,0.03161718,0.06100831],"study_design_scores_gemma":[0.03912158,0.005469463,0.005564233,0.01158325,0.01311554,0.004577586,0.004774423,0.007235378,0.8610373,0.003890594,0.00817383,0.03545681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987626,0.01060169,0.003381398,0.004838023,0.01411021,0.03038145,0.02311477,0.0114502,0.003359587],"genre_scores_gemma":[0.8639153,0.050804,0.0004915054,0.008567442,0.01450305,0.01686924,0.03271449,0.01191903,0.0002159393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04020231,"threshold_uncertainty_score":0.9951516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006560621631510165,"score_gpt":0.1988941130985895,"score_spread":0.1923334914670793,"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."}}