{"id":"W3209936531","doi":"10.5281/zenodo.4035081","title":"nipy/nipype: 1.5.1","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University; Western University; Holland Bloorview Kids Rehabilitation Hospital; Centre for Addiction and Mental Health","funders":"","keywords":"Computer science","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":[0.00009382171,0.00007810262,0.0000602686,0.00002276334,0.0006766262,0.0001428381,0.0004083886,0.00005173304,0.0006472146],"category_scores_gemma":[0.0001857953,0.00008296619,0.00003535978,0.0001746567,0.0000786129,0.000005581051,0.0005706439,0.00009396517,0.001078872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000126993,"about_ca_system_score_gemma":0.000001671774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001190195,"about_ca_topic_score_gemma":3.339392e-8,"domain_scores_codex":[0.9992937,0.0000508917,0.0001070524,0.0002892758,0.00009729929,0.0001617209],"domain_scores_gemma":[0.9993946,0.000002006879,0.00004270727,0.0002656599,0.0001752242,0.0001197825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004078964,0.00004119557,0.000001512332,0.00001364624,0.00001548051,0.00000230649,0.00009302144,0.00002489263,0.6409018,0.002757117,0.2890028,0.06710542],"study_design_scores_gemma":[0.0001399198,0.0001803382,0.00003628185,0.000003303852,0.000003874885,0.00002602245,0.00004340587,0.0001025839,0.04139763,0.0001205348,0.9578468,0.00009935821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1769214,0.0005410481,0.503211,0.02414799,0.000143707,0.001871924,0.0007286574,0.003601643,0.2888326],"genre_scores_gemma":[0.9922047,0.0000927061,0.003693575,0.001136168,0.0002611829,3.403053e-8,0.001669726,0.000613752,0.0003282097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8152832,"threshold_uncertainty_score":0.9996989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337730698206716,"score_gpt":0.2609321454222681,"score_spread":0.2271590756015965,"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."}}