{"id":"W4381186357","doi":"10.11159/tann23","title":"Proceedings of the 7th International Conference on Theoretical and Applied Nanoscience and Nanotechnology (TANN 2023)","year":2023,"lang":"en","type":"paratext","venue":"Proceedings of the International Conference of Theoretical and Applied Nanoscience and Nanotechnology","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Society of Chemistry; Japan Society for the Promotion of Science; Royal Society; Chemical Institute of Canada","keywords":"Nanotechnology; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002774734,0.001275003,0.001279354,0.002033807,0.001082125,0.00699702,0.001898461,0.002094503,0.2213748],"category_scores_gemma":[0.005623222,0.0003571488,0.00084437,0.001906776,0.0008783927,0.00456297,0.003102456,0.003260503,0.126846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404596,"about_ca_system_score_gemma":0.002407491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145885,"about_ca_topic_score_gemma":0.002240933,"domain_scores_codex":[0.9973724,0.0005998443,0.0001609498,0.0002880732,0.001308937,0.0002697617],"domain_scores_gemma":[0.9960913,0.0006751579,0.000142645,0.0004165261,0.001632412,0.001042055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000984634,0.00006683698,0.000168481,0.0004139789,0.00002099758,0.000100293,0.00008340103,0.0004552966,0.001440507,0.006710357,0.8615087,0.1289325],"study_design_scores_gemma":[0.000007587226,0.00003078235,0.0002426756,0.0001517192,0.000008465769,0.0001233158,0.00004476803,0.0008478393,0.0004971873,0.002447815,0.9955884,0.000009474034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005836455,0.06648333,0.0873189,0.02889436,0.2294899,0.000736912,0.006473052,0.004701043,0.5700662],"genre_scores_gemma":[0.01714552,0.02851092,0.02054406,0.003580991,0.0158616,0.000557569,0.01134347,0.001989617,0.9004663],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2213748,"threshold_uncertainty_score":0.7405726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337862624302013,"score_gpt":0.255583617765778,"score_spread":0.2422049915227579,"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."}}