{"id":"W6968477495","doi":"10.5281/zenodo.2541468","title":"AGINFRA PLUS D8.3 - AGINFRA Future Science Recommendations","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Deliverable; White paper; Variety (cybernetics); Order (exchange); Work (physics); Strategic planning","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":[0.009248388,0.00154959,0.0008277443,0.002764786,0.001620801,0.01269869,0.00419618,0.01132571,0.2073057],"category_scores_gemma":[0.01437737,0.0007245506,0.001557646,0.002687525,0.001052892,0.008187941,0.006781926,0.004749444,0.2598353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003422595,"about_ca_system_score_gemma":0.01151123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009171824,"about_ca_topic_score_gemma":0.006885929,"domain_scores_codex":[0.9930719,0.001349225,0.0002632037,0.0005996515,0.003556803,0.001159223],"domain_scores_gemma":[0.9870826,0.001379171,0.0005896874,0.001581531,0.005802438,0.003564621],"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":[0.00008413672,0.00006759622,0.0001072321,0.0003484614,0.000008006266,0.00006314791,0.0001093688,0.000309277,0.0009153472,0.01125643,0.9339184,0.05281274],"study_design_scores_gemma":[0.000006508124,0.00001356112,0.00007373408,0.00008658255,0.000003063479,0.00001898811,0.00003889221,0.00006892096,0.0002357534,0.001969291,0.9974777,0.000007011431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001845902,0.008119543,0.02380208,0.08333595,0.02650879,0.001011014,0.03167443,0.02167573,0.8020266],"genre_scores_gemma":[0.01264847,0.009789496,0.06536211,0.02692576,0.004527055,0.001562953,0.06252791,0.00958976,0.8070665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2073057,"threshold_uncertainty_score":0.6935067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666971587956242,"score_gpt":0.2279422331912803,"score_spread":0.1912725173117178,"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."}}