{"id":"W1976569304","doi":"10.1016/j.neuroscience.2009.01.052","title":"Imaging genetics and the power of combined technologies: a perspective from neuroethics","year":2009,"lang":"en","type":"review","venue":"Neuroscience","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"National Institute of Mental Health","keywords":"Neuroethics; Perspective (graphical); Neuroscience; Power (physics); Neuroimaging; Cognitive science; Biology; Engineering ethics; Psychology; Computer science; Engineering; Artificial intelligence; Physics","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":[0.003006909,0.001472425,0.002551065,0.003785824,0.0008191632,0.003042268,0.001830902,0.006125347,0.002834378],"category_scores_gemma":[0.003117359,0.0004744048,0.0006119926,0.003648214,0.005190862,0.005659653,0.002000208,0.00588706,0.001490589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381905,"about_ca_system_score_gemma":0.003016708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00249443,"about_ca_topic_score_gemma":0.004870181,"domain_scores_codex":[0.9990942,0.0002988492,0.00008120741,0.0001134117,0.0003544674,0.00005777732],"domain_scores_gemma":[0.9972579,0.002171466,0.000121435,0.00006460603,0.0003094581,0.00007511632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008356492,0.0001227651,0.0002459541,0.0100069,0.0001080927,0.0006773211,0.0003635082,0.0006894882,0.001251034,0.1253712,0.0476204,0.8134597],"study_design_scores_gemma":[0.00002511064,0.00004919066,0.0003802314,0.00533928,0.0000429937,0.0018008,0.0002865409,0.0001675091,0.0003487349,0.04751853,0.9440057,0.00003544061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003660124,0.9970908,0.0002589403,0.001253851,0.0002054057,0.000001517263,0.000002750263,0.000002618597,0.001147394],"genre_scores_gemma":[0.0007769255,0.9966827,0.0004557687,0.0009750733,0.0005571678,0.000006184881,0.000005221028,0.00000191928,0.000538961],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006125347,"threshold_uncertainty_score":0.01728201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048861379196984,"score_gpt":0.3863287364453626,"score_spread":0.2814425985256642,"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."}}