{"id":"W6893220342","doi":"10.5281/zenodo.14873079","title":"Dataset for the manuscript \"Temperature-Dependent Dynamic Disproportionation in LiNiO2\"","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Faraday Institution","keywords":"Disproportionation; Multiplet; Spectral line; Spectral analysis; Spectrum (functional analysis)","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":[],"consensus_categories":[],"category_scores_codex":[0.001010719,0.002727365,0.002300498,0.002300106,0.001357922,0.00274446,0.003767924,0.003385564,0.1522667],"category_scores_gemma":[0.004489616,0.0007247056,0.001651385,0.005119275,0.0004974038,0.001618302,0.002208619,0.002414576,0.1252284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207876,"about_ca_system_score_gemma":0.003030737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411536,"about_ca_topic_score_gemma":0.02568023,"domain_scores_codex":[0.9988237,0.0001444789,0.0001189102,0.0003754081,0.0003521379,0.0001853851],"domain_scores_gemma":[0.9982937,0.0005975315,0.0002091405,0.0003326065,0.0004328206,0.0001342247],"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":[0.0001633106,0.0000473939,0.0006475535,0.003380221,0.0000961861,0.00005504383,0.00002657092,0.001062825,0.0007357657,0.001176603,0.9898957,0.002712807],"study_design_scores_gemma":[0.0003457755,0.00002569222,0.001831006,0.0004558649,0.00008244647,0.00006263745,0.00003551749,0.0007842643,0.001478103,0.002861132,0.991991,0.00004656103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001250765,0.0001387018,0.0001082613,0.00005717747,0.00002751,0.000009632948,0.9981844,0.0004810227,0.0008681837],"genre_scores_gemma":[0.0005563484,0.0001128976,0.0005319089,0.00006754094,0.00000665936,0.00008683543,0.99769,0.00019649,0.0007514944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1522667,"threshold_uncertainty_score":0.509383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731144227822479,"score_gpt":0.2866186398918655,"score_spread":0.2593071976136407,"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."}}