{"id":"W3128599886","doi":"10.1002/adma.202007472","title":"Multidisciplinary Materials Research at Harbin Institute of Technology","year":2021,"lang":"en","type":"article","venue":"Advanced Materials","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Multidisciplinary approach; Engineering ethics; Nanotechnology; Engineering physics; Library science; Engineering; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002311674,0.0009448414,0.0008512135,0.002748636,0.002171409,0.003661189,0.001181942,0.001456317,0.07431132],"category_scores_gemma":[0.002114726,0.000552397,0.000687897,0.002332435,0.0006975098,0.002427802,0.004407221,0.00222698,0.03878708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00292072,"about_ca_system_score_gemma":0.006994755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003992665,"about_ca_topic_score_gemma":0.005670779,"domain_scores_codex":[0.9974256,0.0002278449,0.0001311507,0.0003341047,0.001627727,0.0002534282],"domain_scores_gemma":[0.998004,0.0001368052,0.00007423611,0.0004047667,0.000935733,0.0004444386],"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":[0.0001119296,0.0001038985,0.001121791,0.0009701329,0.00005738829,0.000444152,0.000474493,0.000679759,0.01575475,0.0552349,0.5503584,0.3746884],"study_design_scores_gemma":[0.00000528009,0.00003085725,0.0006240869,0.00006506583,0.000005298,0.0001042837,0.00003263868,0.000360899,0.003152109,0.002057062,0.9935483,0.00001400269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02148693,0.137304,0.05878329,0.03369626,0.04578455,0.0009686356,0.007459632,0.00839532,0.6861213],"genre_scores_gemma":[0.0636391,0.04931117,0.03064027,0.003357618,0.004811768,0.0006481506,0.00826883,0.001334557,0.8379886],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07431132,"threshold_uncertainty_score":0.2485961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382118868700369,"score_gpt":0.3546671884933352,"score_spread":0.3164553016232983,"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."}}