{"id":"W3177445100","doi":"10.1039/d1ra03428f","title":"Heat induction in two-dimensional graphene–Fe<sub>3</sub>O<sub>4</sub> nanohybrids for magnetic hyperthermia applications with artificial neural network modeling","year":2021,"lang":"en","type":"article","venue":"RSC Advances","topic":"Graphene research and applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Higher Education Commision, Pakistan","keywords":"Graphene; Artificial neural network; Induction heating; Materials science; Hyperthermia; Electromagnetic induction; Nanotechnology; Chemical engineering; Computer science; Physics; Artificial intelligence; Engineering; Electromagnetic coil; Quantum mechanics","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":[0.00005627816,0.0001005516,0.00008445432,0.00006437863,0.00009053791,0.0001165423,0.0001901133,0.0001980701,0.001035589],"category_scores_gemma":[0.0001036909,0.00009450965,0.0001221155,0.00008626899,0.0001751903,0.0001692081,0.00008883246,0.000165718,0.00009315269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004381571,"about_ca_system_score_gemma":0.0001063356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678827,"about_ca_topic_score_gemma":0.002987177,"domain_scores_codex":[0.9999827,0.000001956385,5.599628e-7,0.000004656064,0.000006171919,0.000003927344],"domain_scores_gemma":[0.9999788,0.00001003264,0.000004115378,0.000001576569,0.000003061767,0.000002301286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003111113,0.00007111656,0.00131546,0.000121672,0.00002046872,0.0001017346,0.00007297683,0.2121421,0.7735919,0.002215471,0.0005538693,0.009482118],"study_design_scores_gemma":[0.00001024757,0.00004170125,0.001892098,0.000003549846,0.000006078242,0.00001652515,0.00002155158,0.8029456,0.193887,0.0005196023,0.0006471866,0.00000901975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799582,0.0001749235,0.0150702,0.0001812129,0.00002244082,0.00001392179,0.0001327085,0.0001379556,0.004308402],"genre_scores_gemma":[0.9971355,0.00003787107,0.001972041,0.00001004108,0.00000101619,0.000008088755,0.0000231427,0.000008200103,0.0008040211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001678827,"threshold_uncertainty_score":0.003464401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056852332684544,"score_gpt":0.2755888227210577,"score_spread":0.2550202993942123,"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."}}