{"id":"W4294103403","doi":"10.5281/zenodo.7033845","title":"Deliverable 1.10 Roadmap for a sustainable Arctic Observing System","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Horizon 2020 Framework Programme","keywords":"Deliverable; The arctic; Arctic; Environmental science; Computer science; Earth science; Environmental planning; Business; Systems engineering; Engineering; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001121426,0.000330862,0.0003896751,0.0005316005,0.001857341,0.0007332822,0.001366454,0.000231011,0.004878651],"category_scores_gemma":[0.001334587,0.0003914933,0.0001419253,0.0006195753,0.00005069348,0.0001936564,0.001345659,0.0007247717,0.0007887601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314294,"about_ca_system_score_gemma":0.00002024559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006825053,"about_ca_topic_score_gemma":3.019996e-7,"domain_scores_codex":[0.9976692,0.00007556627,0.0003962895,0.0004886456,0.0006079124,0.0007623443],"domain_scores_gemma":[0.9977424,0.00005019816,0.000104726,0.000755837,0.001222416,0.0001244707],"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":[0.00002292501,0.00005008513,8.255717e-7,0.009862006,0.0003353899,0.0001318252,0.0002887583,0.03481102,0.0002164429,0.003432777,0.9134611,0.03738683],"study_design_scores_gemma":[0.00023044,0.0001418042,0.00001438663,0.000172015,0.00005709008,0.0002013098,0.00134315,0.007943857,0.000103832,0.00004703839,0.9893546,0.0003905076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002614005,0.006252618,0.0238054,0.0001779711,0.001785055,0.003346763,0.001109897,0.03288768,0.9280206],"genre_scores_gemma":[0.8825992,0.002219279,0.002043729,0.00002015014,0.001225643,0.000006292168,0.01232009,0.01634966,0.08321589],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8799853,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363835185419854,"score_gpt":0.2212940831890662,"score_spread":0.1876557313348677,"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."}}