{"id":"W2053573468","doi":"10.1080/13547500500214392","title":"Brain imaging in drug R&amp;D","year":2005,"lang":"en","type":"review","venue":"Biomarkers","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Magnetic resonance imaging; Neuroimaging; Molecular imaging; Drug development; Neuroscience; Pipeline (software); Drug discovery; Brain function; Medicine; Computer science; Medical physics; Drug; Bioinformatics; Biology; Radiology; Pharmacology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005076705,0.0003770828,0.0006739526,0.0003118048,0.0000281663,0.00004233399,0.0004351845,0.0002272737,0.00005912676],"category_scores_gemma":[0.000122551,0.0003560656,0.0005713996,0.0003033838,0.00008068969,0.000003389411,0.000217889,0.0001468781,0.00006575255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008089685,"about_ca_system_score_gemma":0.0001459457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021889,"about_ca_topic_score_gemma":0.0003720497,"domain_scores_codex":[0.99822,0.0001987373,0.0004955931,0.0006423874,0.0001231901,0.0003201191],"domain_scores_gemma":[0.9989004,0.00002993834,0.0002099313,0.0007606169,0.00002845576,0.00007070633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003424107,0.00002510717,0.00001998123,0.00041632,0.00009225501,0.00001081052,0.000003765305,3.464726e-8,0.0005898795,0.000001190432,0.1427805,0.8560568],"study_design_scores_gemma":[0.00009314511,0.000004563751,0.000003430717,0.0008448699,0.0001405797,0.00002710729,0.000005123639,0.000001071823,0.0001779089,0.000003226849,0.9983185,0.0003804916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001866777,0.9928715,0.0001045642,0.00006433141,0.00002796514,0.0003227367,0.000008838571,0.00003426276,0.006547126],"genre_scores_gemma":[0.00002032129,0.993663,0.001275642,0.0001979344,0.0002248277,0.00007390352,0.0008389706,0.00007118967,0.003634202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8556763,"threshold_uncertainty_score":0.9998891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708668355407567,"score_gpt":0.3391106694870786,"score_spread":0.3220239859330029,"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."}}