{"id":"W6950079452","doi":"10.5281/zenodo.4575459","title":"CINECA Cohort Level metadata Representation D3.1","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"European Commission","keywords":"Metadata; Ontology; Metadata repository; Data element; Geospatial metadata; Data mapping; Key (lock); Representation (politics)","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007744834,0.000145447,0.0001505222,0.00005417591,0.001318132,0.0003847175,0.0007972138,0.00005002395,0.04801252],"category_scores_gemma":[0.001083296,0.0001592445,0.00004141143,0.0005660343,0.0002048658,0.0007894708,0.001720207,0.0002822639,0.0319276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217334,"about_ca_system_score_gemma":0.000001870985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009725432,"about_ca_topic_score_gemma":8.715303e-7,"domain_scores_codex":[0.9975592,0.0004292897,0.0002739095,0.0007727808,0.000582547,0.0003822897],"domain_scores_gemma":[0.9989703,0.00003221233,0.0001118787,0.0004968789,0.00004344953,0.0003452714],"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":[0.0001655977,0.0002995902,0.003092825,0.00008416155,0.000131792,0.00008756769,0.004752128,0.001338119,0.09007228,0.001098691,0.5165058,0.3823715],"study_design_scores_gemma":[0.0004370634,0.0001313546,0.04772634,0.000008215498,0.00002390289,0.00002931156,0.0003179752,0.001579245,0.002471013,0.00007623617,0.94699,0.0002093326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3208529,0.0000683613,0.1112104,0.01588227,0.0001594661,0.002724933,0.0007668517,0.001712198,0.5466226],"genre_scores_gemma":[0.9934987,0.0001014408,0.00106557,0.001948702,0.0001189913,8.550414e-8,0.001353484,0.0008431965,0.001069796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6726459,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104624864795498,"score_gpt":0.2778943457222909,"score_spread":0.1732694809267929,"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."}}