{"id":"W4250068030","doi":"10.3410/f.733821237.793560118","title":"Faculty Opinions recommendation of Constraints on neural redundancy.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Craig H. Neilsen Foundation; National Institutes of Health; Pennsylvania Department of Health; National Science Foundation","keywords":"Redundancy (engineering); Computer science; Artificial intelligence; Operating system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001766755,0.002778749,0.001559693,0.003862209,0.0009809284,0.00323148,0.003104271,0.003046602,0.09293164],"category_scores_gemma":[0.01307151,0.0006075575,0.001985712,0.004543314,0.0004910261,0.001833281,0.00204151,0.002215251,0.1605116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496874,"about_ca_system_score_gemma":0.002836036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01602676,"about_ca_topic_score_gemma":0.04634752,"domain_scores_codex":[0.9983391,0.000240502,0.0002163432,0.0005487548,0.0004168814,0.0002384139],"domain_scores_gemma":[0.9957781,0.001243809,0.0003653049,0.00105469,0.001115288,0.0004428813],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006388447,0.00002837715,0.00149424,0.0006276078,0.0000455253,0.0000255988,0.00001168064,0.0002913924,0.00009309588,0.0002938495,0.9933795,0.003645244],"study_design_scores_gemma":[0.0003801679,0.0000339532,0.005846519,0.0003835212,0.00005576244,0.0001208967,0.00006522462,0.001415314,0.0004933433,0.001803781,0.9893652,0.00003636381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002705811,0.0001752714,0.0001191882,0.0002239336,0.00007891312,0.00001941076,0.9972007,0.0004667431,0.001445167],"genre_scores_gemma":[0.0007441707,0.00007546724,0.0003172738,0.00008884016,0.00001868476,0.00005890974,0.9976813,0.00005697685,0.0009583595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9982333,"threshold_uncertainty_score":0.3108873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07025113899299162,"score_gpt":0.3785899713142445,"score_spread":0.3083388323212529,"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."}}