{"id":"W7100630101","doi":"","title":"Your file Votre relerence Our file Notre référence","year":2015,"lang":"en","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Government (linguistics); Electronic document; 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":["insufficient_payload"],"category_scores_codex":[0.002065383,0.0008613011,0.001313614,0.003374213,0.003450276,0.01673676,0.002410238,0.002107391,0.8353763],"category_scores_gemma":[0.02594605,0.0007066473,0.001079569,0.004210365,0.001236248,0.00795321,0.005972056,0.003365776,0.8567747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763168,"about_ca_system_score_gemma":0.002299262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430113,"about_ca_topic_score_gemma":0.002315225,"domain_scores_codex":[0.9978154,0.0002709618,0.0001346831,0.000299202,0.001212776,0.000267005],"domain_scores_gemma":[0.9877732,0.001325326,0.0005160213,0.003379465,0.005609819,0.001396138],"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":[0.00002219538,0.00001605204,0.00005699297,0.00006993975,0.000002969106,0.00003973556,0.00007512554,0.00001633142,0.0001621242,0.002934108,0.959143,0.03746146],"study_design_scores_gemma":[0.000005432783,0.000009288357,0.0001116525,0.00007978363,0.000001607365,0.00004568399,0.00007206049,0.00002208461,0.0001121141,0.0007236444,0.998808,0.000008558615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009934945,0.001488739,0.00638825,0.01537385,0.02057881,0.000616434,0.0220918,0.01454598,0.9179228],"genre_scores_gemma":[0.003498594,0.001268945,0.002476967,0.002359141,0.002569512,0.0002688369,0.009463367,0.007800997,0.9702936],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1646237,"threshold_uncertainty_score":0.2348157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3749854330885988,"score_gpt":0.3254438993133915,"score_spread":0.04954153377520731,"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."}}