{"id":"W7011375292","doi":"","title":"2015 02 27 Lyndia Dallaire aux jeux du Quéebc","year":2015,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Context (archaeology); Perspective (graphical); Subject (documents)","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":[0.001106345,0.000801577,0.000554114,0.001334355,0.005416406,0.00462889,0.0008462137,0.002345328,0.6242931],"category_scores_gemma":[0.003006585,0.0003580298,0.0005123526,0.0009878799,0.001045181,0.001120528,0.002349786,0.002576771,0.2938444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0068903,"about_ca_system_score_gemma":0.01081813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3878025,"about_ca_topic_score_gemma":0.5811177,"domain_scores_codex":[0.9990734,0.00009348824,0.00002184674,0.0001631964,0.0003915475,0.000256531],"domain_scores_gemma":[0.9975266,0.0001579551,0.00005697741,0.0001384746,0.001220195,0.0008998893],"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":[0.00004384775,0.00002786527,0.001072415,0.00005495766,0.00000438814,0.000244241,0.0002775916,0.00004827768,0.000338077,0.005055391,0.9540549,0.038778],"study_design_scores_gemma":[0.000003306559,0.000006164218,0.001490261,0.00004663393,0.0000015092,0.00005312193,0.0001766422,0.00003058699,0.00009152974,0.0001437627,0.9979514,0.00000499394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003809849,0.004712866,0.0008629392,0.02023603,0.008879922,0.0001217613,0.00429702,0.001178239,0.9559013],"genre_scores_gemma":[0.003973469,0.0008227617,0.0002637532,0.0006722708,0.0002828636,0.00001759627,0.0004609504,0.0001608053,0.9933455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6242931,"threshold_uncertainty_score":0.7710906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296470340280238,"score_gpt":0.2587867163577347,"score_spread":0.2358220129549323,"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."}}