{"id":"W2292440295","doi":"10.4000/ocim.1629","title":"Multimédia et nouvelles technologies au service de la valorisation patrimoniale : l’exemple de la constitution de la borne tactile dédiée dans les expositions Terre-Neuve/Terre-Neuvas","year":2016,"lang":"fr","type":"article","venue":"La Lettre de l’OCIM","topic":"French Urban and Social Studies","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":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001866784,0.0004236986,0.0004319144,0.0001305644,0.001771498,0.0002983842,0.0005203712,0.001224332,0.00008840443],"category_scores_gemma":[0.001409982,0.0003983497,0.0002502749,0.0005918971,0.003829312,0.0004820015,0.0001890308,0.0006959414,0.00005680053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326818,"about_ca_system_score_gemma":0.001468796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5706504,"about_ca_topic_score_gemma":0.03048984,"domain_scores_codex":[0.9949149,0.002766539,0.0003880789,0.0005128434,0.0003840798,0.001033491],"domain_scores_gemma":[0.9947449,0.00433833,0.0002855242,0.0003099015,0.0001286038,0.0001927389],"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":[0.00005826914,0.0008606341,0.1109097,0.0001562466,0.0003264679,0.0002441681,0.1533647,0.0002656571,0.01906237,0.1184634,0.5528715,0.04341695],"study_design_scores_gemma":[0.001040174,0.0000770202,0.04073258,0.0003923951,0.0002332652,0.00005005499,0.03166729,0.0002236147,0.00341163,0.01129071,0.9102806,0.0006006262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3010494,0.004408198,0.01524314,0.03078978,0.0007364772,0.0005593318,0.0004364238,0.0008817527,0.6458955],"genre_scores_gemma":[0.9904701,0.002007893,0.003723606,0.0005830973,0.0006436996,0.0001920515,0.00002923614,0.00004055191,0.002309779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6894207,"threshold_uncertainty_score":0.9998468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102362121521719,"score_gpt":0.2986016930705217,"score_spread":0.2675780718553045,"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."}}