{"id":"W1751016217","doi":"10.1038/embor.2008.107","title":"A tale of two strategies","year":2008,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biology; Computational biology","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":[0.01301059,0.001383058,0.001084115,0.002478347,0.004254803,0.01033606,0.002915046,0.01054348,0.01930336],"category_scores_gemma":[0.01837383,0.0005993439,0.0008807413,0.0007159202,0.02798716,0.01790283,0.008694004,0.01213344,0.006476587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004292871,"about_ca_system_score_gemma":0.005645516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004245722,"about_ca_topic_score_gemma":0.003070516,"domain_scores_codex":[0.9946972,0.002402823,0.0001961474,0.0007814398,0.001210389,0.0007118986],"domain_scores_gemma":[0.9927044,0.002873801,0.0003445843,0.001405523,0.001397734,0.001274024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003855036,0.00002454875,0.0001582402,0.00004903572,0.0000182311,0.0000518732,0.00142399,0.00009998364,0.0003265291,0.9674875,0.01874299,0.01157851],"study_design_scores_gemma":[0.00006615815,0.00005328331,0.0003366749,0.0002204061,0.00001751347,0.0001726197,0.002973536,0.0005293341,0.000673334,0.783507,0.2113826,0.00006747466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008184817,0.01361165,0.1199473,0.5548129,0.009129486,0.0002813034,0.0001888227,0.000615854,0.293228],"genre_scores_gemma":[0.4301733,0.008813581,0.1329922,0.1656336,0.004230904,0.001688363,0.0003386158,0.001095601,0.2550337],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01930336,"threshold_uncertainty_score":0.06880742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08953050361128317,"score_gpt":0.3511359108719647,"score_spread":0.2616054072606815,"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."}}