{"id":"W2028113937","doi":"10.1038/nbt1010-1017","title":"More sizzle than fizzle","year":2010,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada Research Chairs; National Institutes of Health; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Business; Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001221744,0.0007032282,0.0009911465,0.0004337535,0.003547203,0.003020127,0.001206859,0.03605998,0.01036496],"category_scores_gemma":[0.01079928,0.0004898319,0.0007729502,0.0003513232,0.002431261,0.002085158,0.0008976519,0.03247556,0.006474713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003681869,"about_ca_system_score_gemma":0.001640358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005116942,"about_ca_topic_score_gemma":0.01332735,"domain_scores_codex":[0.9991667,0.0001577782,0.00006597881,0.0001760126,0.0002950351,0.0001384522],"domain_scores_gemma":[0.9973453,0.001539178,0.0001196196,0.0001300747,0.0005065956,0.0003592636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716249,0.00006616957,0.0005101625,0.0000486368,0.00001797877,0.004902163,0.0001857638,0.00005947324,0.0005454099,0.005992993,0.9709942,0.01650545],"study_design_scores_gemma":[0.0001732134,0.0001283452,0.002289637,0.0001831546,0.00004336232,0.01178686,0.0006302313,0.00154319,0.0008996376,0.03656819,0.9456826,0.00007165949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0011168,0.0008968395,0.0002640497,0.9681948,0.02090694,0.00001403239,0.00006573737,0.00005541135,0.008485416],"genre_scores_gemma":[0.01260266,0.001013261,0.0005489981,0.9212886,0.02727252,0.00003936874,0.0000412455,0.00004456857,0.03714876],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03605998,"threshold_uncertainty_score":0.03467423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202402929583905,"score_gpt":0.2727829630399995,"score_spread":0.2607589337441605,"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."}}