{"id":"W7099140654","doi":"","title":"The image of Colmez’s Montreal functor","year":2010,"lang":"en","type":"article","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000848514,0.00003649376,0.00004439888,0.000009991164,0.00004299348,0.0001474374,0.0006108735,0.00001739815,0.00003449981],"category_scores_gemma":[0.00002159384,0.0000208506,0.00002396726,0.00005295595,0.00005949705,0.0004706034,0.0001734495,0.00004793238,0.0001112933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001595832,"about_ca_system_score_gemma":0.00003038056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317503,"about_ca_topic_score_gemma":0.0005459334,"domain_scores_codex":[0.9996629,0.000003755479,0.00008663331,0.00009726288,0.00005411142,0.0000953104],"domain_scores_gemma":[0.9993722,0.00007761141,0.00002767754,0.0004512976,0.00003061553,0.00004061596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003482326,0.00003402884,0.0003953229,0.000002379433,0.000006683792,0.000001848346,0.00006031226,1.519032e-7,0.003127036,0.7440814,0.04021342,0.2120739],"study_design_scores_gemma":[0.000836644,0.0001718705,0.06033241,0.000004697162,0.000005392068,0.00002539748,0.00009418459,0.01667059,0.03255969,0.06086087,0.8280562,0.0003820593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05106799,0.00002413092,0.06680862,0.00176233,0.000754731,0.0001082844,0.00001344506,0.00009286778,0.8793676],"genre_scores_gemma":[0.9866134,0.000002588547,0.01022411,0.0001682827,0.00003833117,0.000004107449,0.000001459169,0.000002103847,0.002945615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9355454,"threshold_uncertainty_score":0.1430488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006611604903137442,"score_gpt":0.1986790046073686,"score_spread":0.1920673997042312,"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."}}