{"id":"W2394512509","doi":"10.7202/1036318ar","title":"Introduction : le cabinet d’Eurostudia","year":2016,"lang":"fr","type":"article","venue":"Eurostudia","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Cabinet (room); Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220101,0.0008197946,0.0003170744,0.00111782,0.002020531,0.005325071,0.0006352285,0.002322635,0.06054302],"category_scores_gemma":[0.002840004,0.0002143081,0.0003218106,0.001406611,0.001170492,0.002610288,0.002033063,0.003443822,0.01261135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075878,"about_ca_system_score_gemma":0.001147274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006304708,"about_ca_topic_score_gemma":0.006306369,"domain_scores_codex":[0.9992378,0.0002003818,0.00003953382,0.0001779929,0.0002208016,0.0001235203],"domain_scores_gemma":[0.9991131,0.0003935147,0.0001033086,0.0000621428,0.0002024745,0.0001254304],"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":[0.0001928441,0.00004328244,0.0007876814,0.0005417262,0.000009927705,0.0002921181,0.001661685,0.0001835123,0.0007436905,0.1440493,0.7776997,0.07379458],"study_design_scores_gemma":[0.00000592125,0.00000766475,0.001184489,0.0001199247,0.000001427842,0.00006820262,0.0002860489,0.00002827555,0.000118628,0.001083727,0.9970905,0.000005170895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02163423,0.1133961,0.003972758,0.1764889,0.1379025,0.00008832228,0.003725579,0.0006377035,0.542154],"genre_scores_gemma":[0.184453,0.02927571,0.002030273,0.02517493,0.04879625,0.0001975987,0.002212588,0.0008434557,0.7070162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06054302,"threshold_uncertainty_score":0.2025366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626404858862755,"score_gpt":0.2734795929612084,"score_spread":0.1108391070749329,"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."}}