{"id":"W6931413362","doi":"10.5281/zenodo.7007909","title":"aspuru-guzik-group/chemspyd: Release for Zenodo sync","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"sync; Synchronization (alternating current); Noise (video); Signal processing; SIGNAL (programming language)","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":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003712377,0.0004827308,0.000901056,0.0004572785,0.001638628,0.0005647918,0.002332506,0.0004158014,0.3623516],"category_scores_gemma":[0.06691264,0.000510969,0.0003109517,0.0006018126,0.0003485546,0.0000756072,0.002527463,0.000952541,0.007447589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525384,"about_ca_system_score_gemma":0.000009913781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000177544,"about_ca_topic_score_gemma":5.714991e-7,"domain_scores_codex":[0.9943378,0.001892582,0.0009403096,0.001145551,0.000927059,0.0007567092],"domain_scores_gemma":[0.993747,0.003205906,0.0007203895,0.001543002,0.0003591315,0.0004245882],"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":[0.0001499978,0.0003208915,1.252374e-7,0.0005565232,0.0001940504,0.00002547569,0.0001203792,9.346797e-7,0.00009274275,0.07656252,0.8566282,0.06534816],"study_design_scores_gemma":[0.001238225,0.0004860701,0.000002302577,0.0001326701,0.0001648032,0.00004534136,0.0001258952,0.00008449188,0.00003355233,0.07575221,0.9214268,0.0005076245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001103152,0.0002026738,0.1066266,0.0004642318,0.0008305169,0.002647572,0.005225882,0.003151206,0.8808402],"genre_scores_gemma":[0.0002220511,0.0004599897,0.391821,0.0007442395,0.00291984,0.000002572465,0.005648307,0.05560597,0.5425761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.354904,"threshold_uncertainty_score":0.9997342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3635039971971465,"score_gpt":0.4499592019786952,"score_spread":0.08645520478154872,"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."}}