{"id":"W2784399496","doi":"10.1021/acs.jpcc.7b12505","title":"Urchin-Shaped Bi<sub>2</sub>S<sub>3</sub>/Cu<sub>2</sub>S/Cu<sub>3</sub>BiS<sub>3</sub> Composites with Enhanced Photothermal and CT Imaging Performance","year":2018,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Photothermal therapy; Materials science; Nanocomposite; Chalcogenide; Optoelectronics; Nanotechnology; Composite number; Microwave; Expansive; Composite material","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":[0.00006164355,0.000327201,0.0002060892,0.0002508388,0.0001414893,0.0003840709,0.000182148,0.0003367601,0.00117261],"category_scores_gemma":[0.0001215002,0.0002173355,0.0001276684,0.0002584865,0.0001714536,0.0002476963,0.0001867888,0.0002666388,0.0004457679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824336,"about_ca_system_score_gemma":0.0001066155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003455815,"about_ca_topic_score_gemma":0.00116584,"domain_scores_codex":[0.9999399,0.000007454695,0.000003396474,0.00001189691,0.00002506483,0.00001237502],"domain_scores_gemma":[0.9999033,0.00001118886,0.00002410346,0.000008608477,0.00003044441,0.00002239215],"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":[0.00005016063,0.000005951319,0.000102696,0.00003533282,0.000004547113,0.00004169609,0.00001252985,0.00009435583,0.9971088,0.0000899554,0.00007277775,0.002381262],"study_design_scores_gemma":[0.000003568497,0.00006808362,0.001260532,0.000002225179,0.00001196132,0.000177866,0.00001544315,0.001377825,0.9953354,0.00003348083,0.001707,0.000006678379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775587,0.001553926,0.01523539,0.00008116945,0.0000543132,0.00003144193,0.0001368536,0.0005082694,0.004839993],"genre_scores_gemma":[0.9876142,0.0004149821,0.009004947,0.00004689218,0.000006658627,0.00001430275,0.00009553359,0.00006164825,0.002740851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00117261,"threshold_uncertainty_score":0.00392276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004354964611682301,"score_gpt":0.1906781971815179,"score_spread":0.1863232325698356,"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."}}