{"id":"W3117761076","doi":"10.4000/baefe.972","title":"Ermant (2019)","year":2020,"lang":"fr","type":"article","venue":"Bulletin archéologique des Écoles françaises à l’étranger","topic":"Archaeology and Historical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Santé et de Services Sociaux de la Montagne","funders":"Agence Nationale de la Recherche","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007399765,0.0004077694,0.0001896402,0.0008970675,0.001229571,0.002107177,0.0006050867,0.0007946501,0.2339451],"category_scores_gemma":[0.001156299,0.0001543546,0.0002728785,0.0007023953,0.0003124511,0.0009774938,0.00162834,0.001115571,0.1002106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390641,"about_ca_system_score_gemma":0.001638527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322484,"about_ca_topic_score_gemma":0.04026475,"domain_scores_codex":[0.9996114,0.00005491074,0.00001514814,0.00007931714,0.0001390405,0.0001002192],"domain_scores_gemma":[0.9996785,0.00002517399,0.00003072442,0.00004716142,0.00009703686,0.0001214213],"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":[0.000225497,0.00004874553,0.002248,0.0002618944,0.00001385979,0.0004550467,0.0006664183,0.0001118077,0.002087247,0.04585111,0.701157,0.2468733],"study_design_scores_gemma":[0.000003325149,0.00001191361,0.001914712,0.0000271964,0.000001054479,0.00007442556,0.00007319955,0.00001834546,0.0001767101,0.0005224362,0.997174,0.000002647068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01635654,0.005185406,0.003501723,0.008593299,0.005177682,0.0002428517,0.02129187,0.001960067,0.9376906],"genre_scores_gemma":[0.0317178,0.001311912,0.003156872,0.001413475,0.0003011827,0.0001292005,0.009994642,0.0005247223,0.9514503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2339451,"threshold_uncertainty_score":0.7826242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04095228104899232,"score_gpt":0.2233025908584244,"score_spread":0.1823503098094321,"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."}}