{"id":"W7083289572","doi":"10.5281/zenodo.17187559","title":"Gap-filled subset of the Peatland Mid-Infrared Database (1.0.0)","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Peat; Frame (networking); Documentation; Fraction (chemistry); Column (typography); Element (criminal law); Bog","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":[0.001647006,0.001144752,0.001528919,0.003401747,0.0004620782,0.001794228,0.002179651,0.00113017,0.09656247],"category_scores_gemma":[0.005941644,0.0006992182,0.0009478159,0.00473043,0.0002761769,0.001659821,0.001964402,0.001030426,0.106569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573883,"about_ca_system_score_gemma":0.001738959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006385942,"about_ca_topic_score_gemma":0.00824229,"domain_scores_codex":[0.9986051,0.0001891801,0.0002367631,0.0004116801,0.0003871465,0.0001701661],"domain_scores_gemma":[0.9964909,0.000781391,0.000359883,0.001048183,0.001087467,0.0002321307],"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":[0.0004054794,0.00005734518,0.002225623,0.001553794,0.00007335226,0.0001530711,0.0001066178,0.0009402086,0.002689946,0.001347372,0.9717254,0.01872186],"study_design_scores_gemma":[0.0001827592,0.00003831236,0.01086569,0.0002591883,0.00004243793,0.0001831476,0.00009872499,0.001032283,0.00298606,0.001900172,0.9823458,0.00006553125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001269006,0.0001412602,0.00191834,0.00006362115,0.00005547897,0.00004938592,0.9885653,0.005757897,0.002179843],"genre_scores_gemma":[0.002016933,0.0000799158,0.003264393,0.00007300229,0.00001697573,0.0001938059,0.9917459,0.001459245,0.001149783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09656247,"threshold_uncertainty_score":0.3230336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197156855777317,"score_gpt":0.2519042058216116,"score_spread":0.2199326372638384,"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."}}