{"id":"W7036683842","doi":"","title":"Common Infrastructure for National Cohorts in Europe, Canada, and Africa -CINECA","year":2020,"lang":"en","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Member states; Data sharing; Health data; General Data Protection Regulation; Health policy; Confidentiality","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":[0.03171174,0.0007051915,0.0008471874,0.0102039,0.009098539,0.007431734,0.004957999,0.001933373,0.06807339],"category_scores_gemma":[0.047988,0.0009096664,0.001231609,0.01023533,0.002472073,0.004576618,0.01672501,0.002044093,0.01217935],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03362704,"about_ca_system_score_gemma":0.2585025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8343289,"about_ca_topic_score_gemma":0.7948189,"domain_scores_codex":[0.98411,0.003490698,0.001498638,0.001931394,0.005146038,0.003823319],"domain_scores_gemma":[0.8926508,0.007633185,0.004014961,0.01836785,0.05031574,0.02701754],"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":[0.0004944679,0.0003633386,0.04611338,0.0008122535,0.0001188074,0.0007585338,0.0131679,0.001084094,0.001426121,0.08665819,0.6219156,0.2270874],"study_design_scores_gemma":[0.00004689638,0.00003970854,0.06533229,0.0005866669,0.00001933664,0.0001701061,0.005814945,0.0004959819,0.0004096803,0.002983384,0.92403,0.00007102459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06150454,0.003657683,0.03863947,0.05489464,0.002924383,0.01514779,0.2333759,0.008825133,0.5810305],"genre_scores_gemma":[0.3231553,0.004600411,0.1274088,0.006273787,0.0007414628,0.01791762,0.196214,0.002760245,0.3209283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.966373,"threshold_uncertainty_score":0.3332935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255245911485965,"score_gpt":0.2143411564776185,"score_spread":0.1917886973627588,"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."}}