{"id":"W7115015247","doi":"10.1594/pangaea.988030","title":"Climate Data Rescue: Digitisation of 5 meteorological variables recorded at Glenam, Clonmel Station (WSI : 0-372-7-10112) Tipperary between 1867-1911","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Irish; Climate change; Metis; Data archive","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":[0.001151918,0.001153712,0.0009759473,0.002949996,0.0006246959,0.001668764,0.002453377,0.001115661,0.03118353],"category_scores_gemma":[0.003481765,0.0005165694,0.0007492108,0.005065605,0.0006118413,0.001138303,0.001979041,0.001508783,0.05420883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638731,"about_ca_system_score_gemma":0.002759604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05604156,"about_ca_topic_score_gemma":0.1061699,"domain_scores_codex":[0.999121,0.0001102175,0.0001096598,0.0002415392,0.0002331613,0.0001843351],"domain_scores_gemma":[0.9984881,0.000201886,0.0001617256,0.0003542574,0.0006136053,0.0001803967],"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":[0.0000880216,0.00002451913,0.002169379,0.0005220991,0.00001956973,0.00006168353,0.0001220811,0.0003429768,0.0002523262,0.0006118793,0.9906328,0.005152668],"study_design_scores_gemma":[0.0001020595,0.00001505423,0.01232693,0.0001866692,0.00001220129,0.0000545415,0.0002382927,0.0002937175,0.0004907169,0.0004098897,0.9858378,0.00003209489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004510098,0.00003585286,0.0000985422,0.00004487886,0.00003044476,0.0000194175,0.997879,0.0002290238,0.001211866],"genre_scores_gemma":[0.0007674772,0.00002798278,0.0003600419,0.00001941759,0.000006745972,0.00007768755,0.9976946,0.00005917867,0.0009869802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05604156,"threshold_uncertainty_score":0.1114308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102016401686518,"score_gpt":0.3681529427497467,"score_spread":0.2579513025810949,"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."}}