{"id":"W7039126614","doi":"","title":"L'intelligenza artificiale nei processi di reclutamento del personale: false promesse e debiti etici","year":2022,"lang":"it","type":"article","venue":"Electronic Theses and Dissertations Repository (University of Pisa)","topic":"Legal and Labor Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Triacetin; Fusible alloy; Emperipolesis","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":[0.01876856,0.000855959,0.0009238647,0.002587382,0.001966125,0.01746658,0.002057919,0.003480474,0.0076951],"category_scores_gemma":[0.09388544,0.0009589859,0.001147444,0.001818659,0.02384297,0.02210366,0.006928952,0.004222888,0.001357537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096546,"about_ca_system_score_gemma":0.002119598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057042,"about_ca_topic_score_gemma":0.001466502,"domain_scores_codex":[0.9850628,0.008193205,0.0007289266,0.00267489,0.003033344,0.0003068275],"domain_scores_gemma":[0.9022684,0.06984787,0.004800501,0.0165184,0.005768704,0.0007961172],"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":[0.000266578,0.0001030449,0.0108001,0.00144702,0.0002187591,0.0003149638,0.03388582,0.006447736,0.002621226,0.8091826,0.003826299,0.1308859],"study_design_scores_gemma":[0.00005552882,0.0002032749,0.01010281,0.001079167,0.0001882964,0.0009011347,0.008720314,0.02364464,0.004117339,0.8729265,0.07788634,0.0001746191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1437719,0.01113433,0.6398803,0.03816143,0.00100115,0.000269223,0.0008265981,0.0008273364,0.1641278],"genre_scores_gemma":[0.8685327,0.003068151,0.1162712,0.002156558,0.0004694125,0.000316423,0.0003709269,0.0003141873,0.008500336],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01876856,"threshold_uncertainty_score":0.09925884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067541604175505,"score_gpt":0.2028670582377219,"score_spread":0.1921916421959669,"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."}}