{"id":"W7038697698","doi":"","title":"Integration of a neuromaging processing pipeline into a pan-canadian computing grid","year":2012,"lang":"en","type":"article","venue":"MPG.PuRe (Max Planck Society)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Institut Universitaire de Gériatrie de Montréal; University of Ottawa; Montreal Neurological Institute and Hospital","funders":"","keywords":"Pipeline (software); Interface (matter); Preprocessor; Neuroimaging; Grid; Pipeline transport; Field (mathematics); Grid computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001927113,0.0005498498,0.0005413913,0.0009098904,0.001043609,0.001896554,0.001934197,0.0004230235,0.005898688],"category_scores_gemma":[0.004913762,0.0004934911,0.0006897404,0.001781869,0.000616018,0.001661285,0.002784974,0.001085538,0.001904463],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479565,"about_ca_system_score_gemma":0.007440396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.106079,"about_ca_topic_score_gemma":0.09892878,"domain_scores_codex":[0.999019,0.0001531399,0.00007582845,0.0002627204,0.0003477487,0.0001414815],"domain_scores_gemma":[0.9983172,0.0002186585,0.00005569958,0.0005593243,0.0006055783,0.0002434347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002852664,0.0005612806,0.01838844,0.0006152982,0.0003475298,0.001396413,0.002428025,0.1062175,0.05891058,0.0804248,0.1231017,0.6047558],"study_design_scores_gemma":[0.0003006597,0.0001808265,0.009774131,0.00007222986,0.0001139387,0.0003566181,0.0004764699,0.6954048,0.04309442,0.03698763,0.2130717,0.0001665692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04033075,0.0001574689,0.8346731,0.001044873,0.0001415633,0.0006027191,0.003234358,0.1048166,0.0149986],"genre_scores_gemma":[0.2059354,0.0001591529,0.7764323,0.0002032326,0.00001857573,0.0003100269,0.006884816,0.003936744,0.006119702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9975204,"threshold_uncertainty_score":0.2109231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492734413111204,"score_gpt":0.2665256456002172,"score_spread":0.2315983014691052,"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."}}