{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00101271,0.0004517169,0.0005402335,0.0001625857,0.0002569637,0.002940832,0.003547606,0.0004621751,0.002307715],"category_scores_gemma":[0.0001463941,0.0004433101,0.0001432354,0.000637851,0.0001357547,0.001896358,0.0006513647,0.0004260739,0.003276159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100457,"about_ca_system_score_gemma":0.0008400809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002423208,"about_ca_topic_score_gemma":0.0002293524,"domain_scores_codex":[0.9970726,0.0002499816,0.0005908078,0.001019448,0.0006298464,0.0004372853],"domain_scores_gemma":[0.9973357,0.00007515382,0.0005987869,0.0009287678,0.0008075488,0.000253998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003540934,0.0002094995,0.00007237617,0.00006411254,0.00004952236,0.0000403959,0.008158335,4.239073e-7,0.004485731,0.003232019,0.006474181,0.977178],"study_design_scores_gemma":[0.0002686272,0.0002026817,0.0004242818,0.0004933403,0.00007544662,0.00002258368,0.002194482,0.00320704,0.2995797,0.003086889,0.6897357,0.0007093076],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04051613,0.01037049,0.2052639,0.004676899,0.005180196,0.00385754,0.0001613136,0.00009432595,0.7298792],"genre_scores_gemma":[0.102143,0.001093484,0.2381193,0.0000685636,0.0003774642,0.000164322,0.001090965,0.00008586957,0.6568571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9764687,"threshold_uncertainty_score":0.9998019,"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."}}