{"id":"W7092791133","doi":"10.5281/zenodo.17401730","title":"netket/netket: NetKet 3.20.1","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Natural (archaeology); Work (physics); Process (computing); Component (thermodynamics)","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.002368991,0.001100614,0.001131646,0.002186184,0.004644312,0.007891139,0.01362339,0.0005995705,0.2468918],"category_scores_gemma":[0.001679825,0.001227411,0.0004458144,0.004955606,0.0007550284,0.001147748,0.01531352,0.001609956,0.1564753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006278619,"about_ca_system_score_gemma":0.00008716488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001485979,"about_ca_topic_score_gemma":0.000004983165,"domain_scores_codex":[0.9895537,0.002150139,0.001355755,0.00312814,0.001983813,0.001828493],"domain_scores_gemma":[0.9913123,0.0001326979,0.0009523397,0.004908192,0.001815989,0.0008784526],"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":[0.00005360117,0.0003154764,0.000002694799,0.0002142193,0.0004445486,0.0000981572,0.0005330323,0.0001366028,0.0002374437,0.01454674,0.7656422,0.2177753],"study_design_scores_gemma":[0.00101018,0.0004071232,0.0001537626,0.0004348482,0.0002095823,0.0001365059,0.0001148196,0.01117095,0.00008485523,0.0004756944,0.9846974,0.001104291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002532397,0.0008245767,0.1319316,0.002220193,0.0009661536,0.001291064,0.001715426,0.002119148,0.8589065],"genre_scores_gemma":[0.008161376,0.002225265,0.006120974,0.002127007,0.001950623,3.252898e-7,0.01487258,0.0158947,0.9486471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2190552,"threshold_uncertainty_score":0.9990176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700196035174488,"score_gpt":0.2471026547280187,"score_spread":0.2201006943762738,"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."}}