{"id":"W6948952243","doi":"10.5281/zenodo.10614178","title":"Atomic data for SIKE","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NIST; Kinetic energy; Fusion; Solver; Atomic energy; Atomic model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007313919,0.002202883,0.001413901,0.002792197,0.0008900949,0.00177556,0.003621785,0.002530924,0.04590906],"category_scores_gemma":[0.003182748,0.0006783068,0.001293122,0.005145461,0.000418492,0.001723583,0.001756293,0.00230874,0.09180332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387216,"about_ca_system_score_gemma":0.001844469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01395382,"about_ca_topic_score_gemma":0.02873848,"domain_scores_codex":[0.9992287,0.0001010019,0.0000878705,0.0002583569,0.0002214111,0.0001025288],"domain_scores_gemma":[0.9990903,0.0001760354,0.00009548452,0.0002975017,0.0002501803,0.00009040896],"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":[0.0001246946,0.00004309827,0.0008152829,0.0007370288,0.00004619643,0.00004768133,0.00002924507,0.001226087,0.0003881841,0.001456268,0.991638,0.003448285],"study_design_scores_gemma":[0.0001955265,0.00001811349,0.002246733,0.0001204552,0.00002892745,0.0000799063,0.00005749521,0.001443152,0.0008615979,0.002479707,0.9924379,0.00003046317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003260564,0.00009441871,0.000235881,0.00006810122,0.00002398042,0.00001658274,0.9971065,0.001032548,0.001095956],"genre_scores_gemma":[0.000382408,0.00004231058,0.0004986727,0.0000299857,0.000003184383,0.00005174132,0.9984919,0.00009513328,0.0004047763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04590906,"threshold_uncertainty_score":0.1535811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039817718717309,"score_gpt":0.2771189057128478,"score_spread":0.1731371338411169,"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."}}