{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004145654,0.000103524,0.00008402823,0.0001096759,0.002363783,0.0008411604,0.001068403,0.00002543432,0.02783101],"category_scores_gemma":[0.000141862,0.0001024385,0.00002557859,0.0006598336,0.0002247429,0.0006395353,0.000448509,0.0001990949,0.01608548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003827076,"about_ca_system_score_gemma":0.000004089204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000544298,"about_ca_topic_score_gemma":6.602342e-7,"domain_scores_codex":[0.9986301,0.00009256456,0.000153112,0.0004059045,0.0004027455,0.0003155571],"domain_scores_gemma":[0.9992671,0.00001167226,0.00005667665,0.0003014097,0.00006645935,0.0002966659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005069658,0.00004743991,0.0005723071,0.00005457416,0.00002917541,0.0000217283,0.002174753,0.001696665,0.0005523768,0.001540254,0.2853709,0.7078891],"study_design_scores_gemma":[0.0002089426,0.0001335477,0.02040584,0.00000801879,0.00000688999,0.0000109259,0.0007699851,0.00213153,0.00009214344,0.00003973961,0.976063,0.0001294956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09212968,0.0004870718,0.008416043,0.04936282,0.001871799,0.001327696,0.002326894,0.002722457,0.8413555],"genre_scores_gemma":[0.9927836,0.0002623157,0.001357726,0.001118074,0.0005664841,1.208194e-8,0.003271055,0.0001659123,0.0004748028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.900654,"threshold_uncertainty_score":0.998935,"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."}}