{"id":"W7161838282","doi":"10.82308/13990","title":"MRI quantification of longitunal morphological changes in neurodegeneration: application to multiple Sclerosis and Alzheimer's disease","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Disease; Central nervous system disease; Electrodiagnosis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880559,0.0003372855,0.0002768578,0.001333898,0.0002832499,0.000731541,0.0002106126,0.0004049813,0.0006635203],"category_scores_gemma":[0.001105914,0.0002193247,0.0001394188,0.001022058,0.0003761474,0.0002185325,0.0002958953,0.0003036816,0.0001319548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006613923,"about_ca_system_score_gemma":0.0007844547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02596359,"about_ca_topic_score_gemma":0.04573999,"domain_scores_codex":[0.9998671,0.00003919398,0.000007953435,0.0000292845,0.00004093353,0.00001554969],"domain_scores_gemma":[0.9997206,0.0000699758,0.00007360447,0.00001724056,0.00009473218,0.00002371887],"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":[0.0007178074,0.000151431,0.0697467,0.0009912906,0.000214429,0.0005385324,0.000693754,0.009438307,0.6399616,0.001307212,0.0007677521,0.2754711],"study_design_scores_gemma":[0.00007455,0.001518971,0.7779725,0.0003473781,0.0004916979,0.003270347,0.001387989,0.08390155,0.1159261,0.002641852,0.01232272,0.0001442656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.891968,0.02196222,0.07738973,0.0006192848,0.00008193435,0.0002977428,0.0006763895,0.0006515761,0.006353204],"genre_scores_gemma":[0.9222216,0.007307952,0.06720777,0.00008128562,0.00002780559,0.0001390078,0.0001925683,0.00006296865,0.00275914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02596359,"threshold_uncertainty_score":0.05162489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076634094780919,"score_gpt":0.3232236686078257,"score_spread":0.2465895738269067,"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."}}