{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001911793,0.0002699846,0.0003505356,0.0001955289,0.002960925,0.0001878746,0.0003514571,0.00006212029,0.0004737133],"category_scores_gemma":[0.00004328432,0.0003086399,0.0001575061,0.0007413388,0.0002025969,0.0007592137,0.00027275,0.000327966,0.00001708436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589676,"about_ca_system_score_gemma":0.0002652871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003718259,"about_ca_topic_score_gemma":0.001980869,"domain_scores_codex":[0.9983419,0.0000576265,0.000257234,0.0004859493,0.0003464018,0.0005108647],"domain_scores_gemma":[0.9989915,0.00009003971,0.0003904373,0.0002253103,0.0002590957,0.00004362168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.005666945,0.008828218,0.1771864,0.005775043,0.004531075,0.0005450958,0.1513558,0.002269572,0.06307177,0.5355253,0.01469626,0.03054843],"study_design_scores_gemma":[0.002153037,0.0009519906,0.06758782,0.000396118,0.002407121,0.00006230061,0.642088,0.01101681,0.001727773,0.005249452,0.2643917,0.001967881],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801166,0.008884034,0.0001401402,0.001702994,0.0002131498,0.0004549025,0.00002074026,0.00007108674,0.008396332],"genre_scores_gemma":[0.9732435,0.0002005111,0.0000257518,0.0000915614,0.0001115183,0.000009573842,0.00003728986,0.00002586219,0.02625442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5302759,"threshold_uncertainty_score":0.9999366,"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."}}