{"id":"W4301057346","doi":"10.21428/594757db.858dd91f","title":"“FIJO”: a French Insurance Soft Skill Detection Dataset","year":2022,"lang":"en","type":"article","venue":"","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Transformer; Artificial intelligence; Security token; Domain (mathematical analysis); Machine learning; Natural language processing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010852,0.00008484329,0.00008240001,0.000157191,0.000400085,0.00009218719,0.0002900059,0.00002674946,0.001533277],"category_scores_gemma":[0.00005207702,0.00007797364,0.00002657858,0.0004235262,0.00002802254,0.0005360905,0.0005297168,0.0001519503,0.0003219396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002051249,"about_ca_system_score_gemma":0.000004585551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021487,"about_ca_topic_score_gemma":0.0003630802,"domain_scores_codex":[0.9993685,0.000003214076,0.000110478,0.0001903237,0.0001625582,0.0001649582],"domain_scores_gemma":[0.9996524,0.0000121905,0.00007092278,0.0002398339,0.00002181839,0.00000283375],"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":[0.00003402983,0.0002583541,0.05477604,0.0001083659,0.00004114625,0.0000364614,0.00005720299,0.0004213012,0.001895527,0.02516981,0.7341022,0.1830995],"study_design_scores_gemma":[0.0002314635,0.00001383543,0.01641204,0.000002223327,0.000009857452,0.000003415762,0.0005351709,0.001370095,0.0002055131,0.006721672,0.97431,0.0001847376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214134,0.0003482247,0.00830387,0.003149031,0.001337158,0.0005817179,0.0004949099,0.003018566,0.06135309],"genre_scores_gemma":[0.9968138,0.000002949649,0.00006593939,0.001943401,0.0001765907,0.00005458638,0.0003126946,0.000009819201,0.0006202389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2402077,"threshold_uncertainty_score":0.9993795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248135543590495,"score_gpt":0.2062973154451216,"score_spread":0.1938159600092166,"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."}}