{"id":"W4251138516","doi":"10.4000/peme.11725","title":"Présentation","year":2016,"lang":"fr","type":"article","venue":"Perspectives médiévales","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001421905,0.000204421,0.00021784,0.0001371872,0.0004123117,0.0002254224,0.0001313279,0.00006099712,0.01768746],"category_scores_gemma":[0.0002041005,0.0001404927,0.0002386266,0.0000458177,0.001001947,0.0002538498,0.00004068169,0.00006813851,0.001326605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494621,"about_ca_system_score_gemma":0.00007256144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007374,"about_ca_topic_score_gemma":0.0004558033,"domain_scores_codex":[0.9987754,0.00008047681,0.0002316339,0.0003596062,0.000226909,0.0003260342],"domain_scores_gemma":[0.999019,0.0001777,0.0001182769,0.0002353253,0.0003438308,0.0001058473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001619179,0.0002193866,0.0004496341,0.00002723199,0.0002251947,0.00001689752,0.01597516,0.00000235246,0.0001198648,0.955117,0.02078155,0.007049485],"study_design_scores_gemma":[0.0004455592,0.00008484349,0.001057532,0.0001974996,0.0003527432,0.000004285569,0.05514166,0.00004112238,0.0002101559,0.03009297,0.9120227,0.0003489199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02401352,0.06145368,0.0005718896,0.04948181,0.005653822,0.0001734969,0.0004232441,0.0001040965,0.8581244],"genre_scores_gemma":[0.6535974,0.006092296,0.0001106405,0.0000691231,0.01547821,0.00000954714,0.000005351502,0.00002787604,0.3246095],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9250241,"threshold_uncertainty_score":0.999451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393654659132214,"score_gpt":0.303312477308369,"score_spread":0.2693759307170469,"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."}}