{"id":"W3023454905","doi":"10.1093/cercor/bhaa097","title":"Influence of Processing Pipeline on Cortical Thickness Measurement","year":2020,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Pipeline (software); Context (archaeology); Pipeline transport; Geology; Computer science; Environmental science; Paleontology","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":[0.01285291,0.001257111,0.0008435839,0.001472083,0.0007371486,0.00170573,0.00123185,0.0007110314,0.002818357],"category_scores_gemma":[0.05327659,0.001007991,0.0008731326,0.001213374,0.001214671,0.001571198,0.002176854,0.0008922521,0.0008488132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339554,"about_ca_system_score_gemma":0.0007290057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00332685,"about_ca_topic_score_gemma":0.003772715,"domain_scores_codex":[0.9946598,0.001668216,0.0004778896,0.001672999,0.001194033,0.0003270333],"domain_scores_gemma":[0.9710651,0.01794628,0.002646178,0.004712394,0.003202588,0.0004274805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007686026,0.000187044,0.2021607,0.002001223,0.002266958,0.0008025435,0.005150928,0.01913439,0.4748164,0.0044722,0.004948259,0.2763734],"study_design_scores_gemma":[0.0001703197,0.001480815,0.7911965,0.000237653,0.001218288,0.001938465,0.0007008926,0.03897962,0.1414442,0.01127234,0.01110057,0.0002604672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7249593,0.003094818,0.2614383,0.0003898125,0.0003220716,0.0003354955,0.001905147,0.002889397,0.004665723],"genre_scores_gemma":[0.9012522,0.0006503884,0.09192067,0.0001745922,0.00007264299,0.0004762147,0.001574847,0.002191921,0.001686431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285291,"threshold_uncertainty_score":0.06797349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07619511698678451,"score_gpt":0.2761258681081453,"score_spread":0.1999307511213608,"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."}}