{"id":"W4327936214","doi":"10.1080/20964471.2023.2187659","title":"Publishing Eurac Research data on the GEOSS Platform","year":2023,"lang":"en","type":"article","venue":"Big Earth Data","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Università degli Studi della Basilicata; Università degli Studi di Firenze; European Geosciences Union; European Commission; European Space Agency; Newlife the Charity for Disabled Children; Innovation, Science and Economic Development Canada; National Science Foundation","keywords":"Computer science; Data publishing; Publishing; Process (computing); Data science; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.0849622,0.0001170861,0.000147107,0.000668027,0.001092462,0.01090985,0.025717,0.00004814897,0.000428095],"category_scores_gemma":[0.06685261,0.00006582239,0.00002467434,0.005395511,0.0002055386,0.003298764,0.0347476,0.0005061554,0.0156449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000976587,"about_ca_system_score_gemma":0.0001490785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003577023,"about_ca_topic_score_gemma":0.0007837939,"domain_scores_codex":[0.9914261,0.000428576,0.0005021638,0.001945863,0.005002641,0.0006946907],"domain_scores_gemma":[0.9674096,0.00894193,0.0001350011,0.02306619,0.0002885052,0.0001588343],"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":[0.000005641202,0.00001310917,0.0002106429,0.000001301653,0.000005246055,0.00001476277,0.00006123731,0.00002167072,0.000003444703,0.002076253,0.6934443,0.3041424],"study_design_scores_gemma":[0.00009828858,0.00001461595,0.01775539,0.00002193343,0.000002329245,0.000001761611,0.001069225,0.08093874,0.000008255164,0.004269913,0.8957356,0.0000839124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4991708,0.000398712,0.005227195,0.2471233,0.02119403,0.002449181,0.03449813,0.001574775,0.1883638],"genre_scores_gemma":[0.9127455,0.00009952269,0.001011664,0.002353449,0.002084131,0.00001403001,0.01834361,0.00004419414,0.06330388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4135747,"threshold_uncertainty_score":0.9901169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9209924926776032,"score_gpt":0.5550802865390005,"score_spread":0.3659122061386026,"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."}}