{"id":"W6930161954","doi":"10.5281/zenodo.10400595","title":"ComputationalAgingLab/computational_aging_course: Book content","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Content (measure theory); Grammar; Work (physics); Content analysis","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":["insufficient_payload"],"category_scores_codex":[0.0003411577,0.0002077276,0.0001825529,0.0006189276,0.0005130551,0.0005537572,0.0007410137,0.0001039152,0.02090974],"category_scores_gemma":[0.0001134865,0.0002358693,0.00006571432,0.0005147111,0.0001251415,0.0001064461,0.0003866448,0.0003216674,0.03765861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887179,"about_ca_system_score_gemma":0.000003550333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001570072,"about_ca_topic_score_gemma":3.672416e-7,"domain_scores_codex":[0.9984058,0.0000536543,0.0001888615,0.0003615807,0.000591331,0.0003987659],"domain_scores_gemma":[0.9992314,0.00003130514,0.00004251489,0.0002892234,0.0002285661,0.0001769937],"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":[0.000002101989,0.00001822846,1.892087e-7,0.0001264786,0.00009328388,0.00001808246,0.0001206405,0.01827661,0.00004439959,0.001142458,0.9609727,0.01918479],"study_design_scores_gemma":[0.0002262341,0.00001985808,0.00005688876,0.0001278391,0.00001086402,0.00002006715,0.00006299555,0.01944743,0.000009081537,0.00003993197,0.9797443,0.0002344857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002398651,0.000668446,0.02006341,0.0002354522,0.001110445,0.000440888,0.0006484095,0.01536027,0.9614487],"genre_scores_gemma":[0.004497659,0.0007429023,0.0009631735,0.0001207113,0.0009253126,2.58356e-7,0.006889316,0.03515809,0.9507026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01979781,"threshold_uncertainty_score":0.9799853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091675168649873,"score_gpt":0.2256690373304328,"score_spread":0.1847522856439341,"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."}}