{"id":"W7037914753","doi":"","title":"#enterrasse : des reseaux à l'apero, quelle sera la boisson de l'ete ?","year":2020,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Quarter (Canadian coin); Capital (architecture); Exhibition","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007914496,0.0003535771,0.0003978357,0.0007147824,0.001470679,0.002988813,0.0007415698,0.002624443,0.3098019],"category_scores_gemma":[0.004660953,0.0002350641,0.0003901463,0.0007590833,0.0003653292,0.002085605,0.002156838,0.002597329,0.1600517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053852,"about_ca_system_score_gemma":0.004107241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07344994,"about_ca_topic_score_gemma":0.105886,"domain_scores_codex":[0.999397,0.00007931623,0.00004113158,0.00008165977,0.0001913611,0.0002095366],"domain_scores_gemma":[0.9979514,0.0002511442,0.0002107941,0.0001280915,0.0006742203,0.0007843657],"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":[0.00002393823,0.000007867218,0.0008596671,0.00007086962,0.000001622301,0.00004782865,0.00008268646,0.00001144163,0.0000720819,0.001644198,0.9755706,0.02160709],"study_design_scores_gemma":[0.000006398737,0.00000919073,0.003691718,0.000105131,0.000002064601,0.00004890109,0.0001446093,0.00003215363,0.00009051992,0.0003392098,0.9955248,0.00000527494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004621659,0.003158761,0.001124664,0.1312621,0.009031725,0.0002905715,0.09040819,0.001909862,0.7581925],"genre_scores_gemma":[0.01539586,0.002319833,0.0008075809,0.02569918,0.001502469,0.0001838489,0.02310564,0.0006199043,0.9303657],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3098019,"threshold_uncertainty_score":0.9844838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008154288830723926,"score_gpt":0.2175393480480821,"score_spread":0.2093850592173582,"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."}}