{"id":"W2612088712","doi":"10.4000/ocim.1753","title":"TIME, un outil de visite innovant au service de tous","year":2017,"lang":"fr","type":"article","venue":"La Lettre de l’OCIM","topic":"Diverse multidisciplinary academic research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004263391,0.0003387891,0.000403561,0.0001059259,0.002565903,0.0005869752,0.002503872,0.0008739054,0.001297716],"category_scores_gemma":[0.0008884283,0.0003725869,0.000177579,0.0005250453,0.001462062,0.000818683,0.001188557,0.001415048,0.003454708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358426,"about_ca_system_score_gemma":0.001517128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06041292,"about_ca_topic_score_gemma":0.001826302,"domain_scores_codex":[0.9949618,0.001212795,0.000337688,0.0006147706,0.000859431,0.002013537],"domain_scores_gemma":[0.9973662,0.0005678056,0.0003173565,0.000889872,0.0002320021,0.0006267797],"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":[0.0002454426,0.0006867045,0.1848877,0.0004539404,0.0004564011,0.004072471,0.1366983,0.0004924964,0.00987716,0.02130773,0.4020587,0.238763],"study_design_scores_gemma":[0.001041365,0.00007510454,0.08312008,0.0002908907,0.000107668,0.00008319227,0.004582055,0.008952184,0.0007115211,0.005714492,0.8947033,0.0006181299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5391726,0.0004892445,0.0001294476,0.1531844,0.0005428855,0.0002996066,0.0000896377,0.00009739881,0.3059948],"genre_scores_gemma":[0.7972218,0.0007562869,0.004716664,0.004796392,0.003065575,0.00004075004,0.00002041994,0.00009518315,0.189287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926446,"threshold_uncertainty_score":0.9998726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06617366639082305,"score_gpt":0.377850440981128,"score_spread":0.311676774590305,"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."}}