{"id":"W3137667816","doi":"10.1021/acsphotonics.0c01949","title":"Accelerated Discovery of Optoelectronic Materials","year":2021,"lang":"en","type":"article","venue":"ACS Photonics","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Citation; Social media; Library science; Altmetrics; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008795391,0.000200822,0.0004149289,0.00005353861,0.0001221526,0.0003331609,0.0006112645,0.0001019183,0.003255304],"category_scores_gemma":[0.0004115693,0.0001838497,0.0000532937,0.0003875672,0.0001621903,0.0005173836,0.0003295531,0.000121167,0.0002320252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000691474,"about_ca_system_score_gemma":0.0004754413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001056997,"about_ca_topic_score_gemma":0.00001629612,"domain_scores_codex":[0.9977743,0.0002594692,0.0005284391,0.000500372,0.0004293508,0.0005080624],"domain_scores_gemma":[0.9986254,0.0001135964,0.0002951406,0.000692491,0.0002120747,0.00006129062],"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":[0.00002973645,0.00006205215,0.0001186258,0.00005346131,0.000006206408,0.00001806761,0.0001034139,0.0004899305,0.9960959,0.002825844,0.0001564186,0.00004036631],"study_design_scores_gemma":[0.0002551089,0.00007062972,0.0007017567,0.00003701814,0.00001588838,0.0000426012,0.00003609736,0.0002229477,0.9966252,0.0007137175,0.001074338,0.0002046656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967117,0.000235942,0.0003858104,0.000138451,0.001010236,0.0001374906,0.00007339108,0.00009672329,0.001210205],"genre_scores_gemma":[0.9927207,0.0001009187,0.005887899,0.0002025976,0.00004940858,0.00001810715,0.00003851189,0.00002903331,0.0009528265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005502088,"threshold_uncertainty_score":0.9976559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442265746328388,"score_gpt":0.2717770033885687,"score_spread":0.2573543459252849,"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."}}