{"id":"W2887864821","doi":"10.1186/s13742-016-0147-0-k","title":"Nipype interfaces in CBRAIN","year":2016,"lang":"en","type":"article","venue":"GigaScience","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002503965,0.0003185014,0.0002629714,0.0001780734,0.0002659157,0.0007045722,0.0008500358,0.0006804671,0.005881718],"category_scores_gemma":[0.0004171302,0.0001902661,0.0001405833,0.0001799168,0.0002197423,0.0008973163,0.0005870378,0.0007501967,0.002517558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006713709,"about_ca_system_score_gemma":0.000149779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009236878,"about_ca_topic_score_gemma":0.001697858,"domain_scores_codex":[0.9995672,0.00003338011,0.00001748832,0.0001163011,0.0001668927,0.00009867606],"domain_scores_gemma":[0.9998899,0.00002702393,0.00001857226,0.00002111809,0.00002901747,0.00001439159],"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":[0.0001029774,0.00006466646,0.0001881599,0.0002329268,0.00001196402,0.0001543107,0.00008631413,0.0002876515,0.9783884,0.004892118,0.002677875,0.01291267],"study_design_scores_gemma":[0.00001034121,0.00005449843,0.000660087,0.00001429456,0.00000833496,0.0001758152,0.00005279197,0.002299526,0.9684981,0.000451131,0.02776499,0.00001007962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.8571714,0.00559955,0.03048511,0.001112003,0.0006004794,0.0001185169,0.0007553753,0.001946334,0.1022113],"genre_scores_gemma":[0.9523129,0.0008330386,0.009749008,0.0006006582,0.00004288735,0.00009067605,0.0005946088,0.0002575136,0.03551879],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.005881718,"threshold_uncertainty_score":0.01967633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004547887607408561,"score_gpt":0.1749953566646816,"score_spread":0.170447469057273,"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."}}