{"meta":{"query_hash":"6d078ec428ad","filters":{"venue":"Neural Systems & Circuits"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/6d078ec428ad","api":"https://metacan.xera.ac/api/v1/cohort?venue=Neural+Systems+%26+Circuits"},"results":[{"id":"W2124751123","doi":"10.1186/2042-1001-1-12","title":"Machine learning for neuroscience","year":2011,"lang":"en","type":"article","venue":"Neural Systems & Circuits","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Graphical model; Computer science; Artificial intelligence; Machine learning; Inference; Key (lock); Variable (mathematics); Probabilistic logic; Hidden variable theory; Computational learning theory; Graph; Latent variable; Computation; Unsupervised learning; Theoretical computer science; Algorithm; Mathematics","score_opus":0.06957827306190785,"score_gpt":0.25403019565944346,"score_spread":0.18445192259753562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124751123","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00270207,0.3435112,0.20946464,0.16780774,0.019328697,0.00030094033,0.003699607,0.0056901914,0.24749494],"genre_scores_gemma":[0.16465299,0.42730916,0.19374193,0.060464863,0.040277634,0.0020014362,0.005942752,0.0028709208,0.10273829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995432,0.0018704511,0.00027296442,0.0009804348,0.0012010379,0.0002432169],"domain_scores_gemma":[0.9927946,0.004337295,0.00039158677,0.0010429972,0.0009852286,0.00044827323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038442307,0.0016621422,0.002321239,0.0026852626,0.0012491441,0.007095149,0.0028600811,0.0058289086,0.038026527],"category_scores_gemma":[0.013001606,0.00045951654,0.000988685,0.0024210669,0.0062674074,0.008109233,0.002955801,0.0068739755,0.018281844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004484273,0.00004423213,0.00057845836,0.0016394061,0.00011413443,0.00011894594,0.0003164245,0.002177811,0.00038645568,0.6073289,0.1835381,0.20371225],"study_design_scores_gemma":[0.0000141048795,0.000026975185,0.00032981118,0.0007317941,0.000013786369,0.00010330542,0.000117209056,0.0016869513,0.00010690994,0.6582111,0.33862695,0.000031001084],"about_ca_topic_score_codex":0.0022714692,"about_ca_topic_score_gemma":0.0011046082,"teacher_disagreement_score":0.038026527,"about_ca_system_score_codex":0.0033813398,"about_ca_system_score_gemma":0.004063621,"threshold_uncertainty_score":0.12721145},"labels":[],"label_agreement":null}]}