{"id":"W6989844387","doi":"","title":"2017 10 23 Caroline Délisle et le Challenge Banque National","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Field (mathematics); Government (linguistics)","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":[0.001366767,0.0005692575,0.0004178846,0.0006704188,0.004993866,0.007866157,0.001231505,0.006083877,0.5537959],"category_scores_gemma":[0.004300527,0.0003371808,0.0003620735,0.0007973828,0.001185213,0.003722536,0.0038881,0.005160688,0.3110319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004861877,"about_ca_system_score_gemma":0.009015626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09210374,"about_ca_topic_score_gemma":0.194782,"domain_scores_codex":[0.9984382,0.0001357865,0.00003230942,0.0001496849,0.0007846301,0.0004594895],"domain_scores_gemma":[0.9972515,0.0002072662,0.00007238439,0.0001565623,0.001041253,0.001271086],"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":[0.000006781639,0.00001073305,0.00009059042,0.00001751275,5.148015e-7,0.00003393113,0.00006682114,0.00001395554,0.00005889027,0.01082519,0.9825963,0.006278874],"study_design_scores_gemma":[9.340693e-7,0.00000124548,0.0001041951,0.00001633829,1.987398e-7,0.000007446095,0.00007069174,0.000007064749,0.00001898399,0.0002195466,0.9995515,0.000001888881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000644789,0.001389271,0.0001861294,0.04116494,0.00533744,0.00004112027,0.001036533,0.0002665866,0.9499332],"genre_scores_gemma":[0.002475257,0.000402923,0.00009737234,0.003356709,0.0004352249,0.00002151023,0.0002925022,0.0002000437,0.9927185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5537959,"threshold_uncertainty_score":0.6364559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479182653264911,"score_gpt":0.2274721588376546,"score_spread":0.2126803323050055,"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."}}