{"id":"W6930993479","doi":"10.5281/zenodo.2550501","title":"diofant/diofant: Diofant 0.10.0","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Process (computing); Action (physics); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002790689,0.002156469,0.001190759,0.002360328,0.0008503218,0.00476317,0.003871196,0.002366794,0.6575677],"category_scores_gemma":[0.006246455,0.00128781,0.000890718,0.001932508,0.0006988089,0.005093974,0.002827514,0.002350881,0.7432243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584454,"about_ca_system_score_gemma":0.001387362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642771,"about_ca_topic_score_gemma":0.002657699,"domain_scores_codex":[0.9986832,0.0002123252,0.00006834891,0.0002255681,0.0006240376,0.000186575],"domain_scores_gemma":[0.9971918,0.0004332024,0.0002318295,0.0008715126,0.000840995,0.0004306289],"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":[0.0001585881,0.00002666977,0.00009989808,0.0002322983,0.000007466335,0.00002080777,0.00003112979,0.0002864426,0.0007910929,0.01195717,0.9553712,0.03101736],"study_design_scores_gemma":[0.00004711076,0.00003389616,0.0001942761,0.00006663398,0.000004757057,0.0000662797,0.000009533509,0.0006125201,0.001787134,0.005917146,0.9912409,0.00001974504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.0009319711,0.001477046,0.03766237,0.001723437,0.001264847,0.0002915681,0.0912795,0.1372958,0.7280735],"genre_scores_gemma":[0.01615473,0.001715255,0.02366515,0.001271212,0.0007682787,0.0005207523,0.1237913,0.1848605,0.6472527],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6575677,"threshold_uncertainty_score":0.4884381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0835413005461307,"score_gpt":0.3145308793882779,"score_spread":0.2309895788421472,"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."}}