{"id":"W7092826649","doi":"10.5281/zenodo.17401772","title":"netket/netket: NetKet 3.20.2","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Identification (biology); Term (time); Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.009860304,0.0008377245,0.0009120764,0.002731108,0.006799688,0.01264721,0.01141654,0.0004130777,0.4326086],"category_scores_gemma":[0.008364852,0.0008287641,0.0003848242,0.005378305,0.0009371387,0.0005567623,0.01651758,0.001107077,0.2233557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184048,"about_ca_system_score_gemma":0.00005661874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081402,"about_ca_topic_score_gemma":0.000003239967,"domain_scores_codex":[0.9870726,0.002298053,0.001710622,0.003794445,0.003561327,0.001562988],"domain_scores_gemma":[0.9906019,0.0004139856,0.0009939844,0.005181052,0.00205932,0.0007497753],"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":[0.00006114475,0.0002083317,0.000002033331,0.00007721501,0.0001136615,0.00003576347,0.0003883218,0.0002007954,0.00005925395,0.004275109,0.636701,0.3578774],"study_design_scores_gemma":[0.0008885337,0.0002416285,0.0002153308,0.0003798542,0.00009755493,0.00005180823,0.0008555665,0.005553956,0.00002456093,0.001283602,0.9896204,0.0007871667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001353627,0.0006162687,0.03454035,0.002246004,0.003409785,0.001486489,0.002197444,0.001433138,0.9539351],"genre_scores_gemma":[0.01188405,0.0005517242,0.001230599,0.0007751118,0.001180063,1.297496e-7,0.005766228,0.005490273,0.9731218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3570902,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09094063616912579,"score_gpt":0.3210868790857435,"score_spread":0.2301462429166177,"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."}}