{"id":"W6945085908","doi":"10.24433/co.9801818.v1","title":"Replication files for Neurons Learn by Predicting Future Activity","year":2021,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Set (abstract data type); Code (set theory); Replication (statistics); Epoch (astronomy); Key (lock); Artificial neural network","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001079223,0.00225993,0.00116856,0.0009562037,0.0005761536,0.001748396,0.004445977,0.002482128,0.4885399],"category_scores_gemma":[0.01589268,0.001276802,0.001282726,0.001184493,0.0008440865,0.002767949,0.00276035,0.002930159,0.2354885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640328,"about_ca_system_score_gemma":0.001943819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005143314,"about_ca_topic_score_gemma":0.006708977,"domain_scores_codex":[0.9993229,0.00007761372,0.00006745608,0.0001687585,0.0002471131,0.0001162645],"domain_scores_gemma":[0.9941698,0.002231086,0.0002339698,0.001765757,0.001305783,0.0002936195],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004930714,0.00008940138,0.001184091,0.0006576256,0.00004191061,0.0001310842,0.00007060613,0.00790306,0.001879059,0.01015729,0.9376176,0.03977503],"study_design_scores_gemma":[0.001884088,0.0001120953,0.001827411,0.0003557032,0.00003972789,0.0002452023,0.00005452249,0.08207618,0.0230762,0.04583209,0.844337,0.000159669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.002910081,0.0002346375,0.1389209,0.001457998,0.001234505,0.0005730193,0.294646,0.5058574,0.05416548],"genre_scores_gemma":[0.05837395,0.0004796577,0.09955182,0.002334491,0.0005656044,0.003348109,0.3296971,0.3900031,0.1156462],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9989208,"threshold_uncertainty_score":0.7295357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297168656235003,"score_gpt":0.2874629300259317,"score_spread":0.2644912434635817,"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."}}