{"id":"W6893462011","doi":"10.5281/zenodo.16883445","title":"CH-Earth/hydro_decision_calendars: version 1.0 release","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Work (physics); Context (archaeology); Action (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001341352,0.001158295,0.000561612,0.001776294,0.0007076241,0.003054568,0.002057686,0.00097497,0.3989711],"category_scores_gemma":[0.006175927,0.001243046,0.0006211678,0.003070609,0.0004239741,0.002903957,0.001534232,0.001404198,0.392787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158794,"about_ca_system_score_gemma":0.002775959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06145015,"about_ca_topic_score_gemma":0.04645642,"domain_scores_codex":[0.9993145,0.0001020234,0.00006203121,0.0001138463,0.000293441,0.0001140716],"domain_scores_gemma":[0.996893,0.0005897389,0.0002125115,0.0007855335,0.001209383,0.0003097097],"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":[0.00004863842,0.000006817161,0.0001825429,0.00007707979,0.000005724913,0.000008771156,0.00001925497,0.0004680989,0.00007874837,0.001091638,0.9917896,0.006223007],"study_design_scores_gemma":[0.0001090193,0.000007752076,0.001085112,0.00003682728,0.000006225916,0.00001242118,0.00001949002,0.0008168616,0.0006289725,0.00224079,0.9950027,0.00003390327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0007313247,0.00009067301,0.005173039,0.0006647944,0.0003856461,0.0001270327,0.8730458,0.03372079,0.08606082],"genre_scores_gemma":[0.01095809,0.0002669124,0.008346452,0.0007004983,0.0002457965,0.0005144081,0.779758,0.04404215,0.1551677],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3989711,"threshold_uncertainty_score":0.8572949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549593710780697,"score_gpt":0.2162369213867938,"score_spread":0.2007409842789868,"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."}}