{"id":"W6930978000","doi":"10.5281/zenodo.16671149","title":"nipype/pydra: 1.0a2","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Guard (computer science); Task (project management); State (computer science); Value (mathematics)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004086309,0.0002309957,0.0002331937,0.0006573501,0.0009821277,0.001116416,0.003191575,0.0001882307,0.007881964],"category_scores_gemma":[0.0002747423,0.0002504945,0.00007562155,0.0008136011,0.00009196277,0.000133672,0.002682442,0.0003360426,0.006492016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009820404,"about_ca_system_score_gemma":0.00001197121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003364568,"about_ca_topic_score_gemma":2.35167e-7,"domain_scores_codex":[0.9980943,0.0002924418,0.0002396351,0.0006593836,0.0003575235,0.0003567031],"domain_scores_gemma":[0.9983175,0.00001960369,0.0001820196,0.001028782,0.0003244205,0.0001276895],"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":[0.000002203382,0.0000423212,1.144477e-7,0.00004297517,0.00002871673,0.000007444357,0.00007693103,0.0000443595,0.0000132008,0.02585856,0.8966145,0.07726871],"study_design_scores_gemma":[0.0001733099,0.00006261473,0.000005788569,0.0001232413,0.000007339715,0.00002333391,0.000006381551,0.003210031,0.00006331196,0.0005552464,0.9955234,0.0002460105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.641546e-7,0.0001673264,0.4356281,0.0003320208,0.0001331923,0.0001973073,0.00004005365,0.004656731,0.558845],"genre_scores_gemma":[0.0009548864,0.0006474295,0.05700481,0.0006758019,0.0004090368,8.897866e-8,0.001228229,0.006519765,0.93256],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3786233,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301139513314772,"score_gpt":0.2498324022022562,"score_spread":0.2268210070691085,"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."}}