{"id":"W2238104607","doi":"10.71781/10252","title":"Apprentissage d'espaces sémantiques","year":2015,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Agence Nationale de la Recherche; Compute Canada; Defense Advanced Research Projects Agency; Canadian Institute for Advanced Research","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001649507,0.001676546,0.001119295,0.002126104,0.0007026309,0.002381437,0.001736236,0.001453435,0.007853871],"category_scores_gemma":[0.005594756,0.0008701684,0.002205883,0.002023955,0.001238868,0.004388383,0.002648571,0.002296366,0.004045176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007857285,"about_ca_system_score_gemma":0.001212438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004605111,"about_ca_topic_score_gemma":0.005263825,"domain_scores_codex":[0.9974789,0.0003948443,0.0001876154,0.0008601547,0.0009102919,0.0001682564],"domain_scores_gemma":[0.996869,0.001143014,0.0002061575,0.0008500669,0.000837382,0.00009432334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003150494,0.0001206397,0.002347382,0.0005662075,0.0002057078,0.0004527379,0.001373178,0.01169721,0.08737008,0.01154628,0.006193803,0.8778117],"study_design_scores_gemma":[0.00008510966,0.0005074812,0.01362959,0.0003808847,0.0003639806,0.002517673,0.003090056,0.5477159,0.2322367,0.05261381,0.1466441,0.0002147802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03360607,0.001136732,0.9534134,0.0003807818,0.0001814752,0.0001360408,0.0004912817,0.005892135,0.004761982],"genre_scores_gemma":[0.2185061,0.001318001,0.7624388,0.0002949226,0.000109006,0.0002136306,0.002480912,0.001464128,0.01317453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007853871,"threshold_uncertainty_score":0.02627379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08686321508600414,"score_gpt":0.3703759534315317,"score_spread":0.2835127383455276,"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."}}