{"id":"W7014597460","doi":"","title":"Privacy del lavoratore, novità in arrivo in Ontario","year":2022,"lang":"it","type":"article","venue":"eYLS (Yale Law School)","topic":"Legal and Labor Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Confidentiality; Information privacy; Government (linguistics); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008489231,0.0004997386,0.0006706696,0.0004194749,0.0006975244,0.0005364634,0.0008387805,0.0001225665,0.007188154],"category_scores_gemma":[0.0001468711,0.0005332547,0.0001590445,0.001648557,0.0001101391,0.001594597,0.00203285,0.00172292,0.001104852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008970947,"about_ca_system_score_gemma":0.0002962888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5852314,"about_ca_topic_score_gemma":0.8330284,"domain_scores_codex":[0.9966224,0.00008235846,0.0008139794,0.0008213069,0.0007047173,0.0009552427],"domain_scores_gemma":[0.9988614,0.00006297628,0.0003100888,0.0005842291,0.0001251062,0.00005621513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000204393,0.0007201881,0.9026958,0.0001960094,0.00007989069,0.0005102865,0.001131322,0.0005254435,0.00008653248,0.07900979,0.01446591,0.0003744783],"study_design_scores_gemma":[0.001985859,0.0000358971,0.238808,0.0001200741,0.00004472647,0.000002013423,0.0007886604,0.0001515867,0.00001135958,0.002204129,0.7552623,0.0005854034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189508,0.002121481,0.000002544174,0.003344093,0.001739137,0.0006648408,0.00002409377,0.00009724557,0.07305576],"genre_scores_gemma":[0.9788178,0.00003182032,0.00007115845,0.007018466,0.0006903065,0.0001949301,0.00005814634,0.00006434457,0.01305308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7407964,"threshold_uncertainty_score":0.9997119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636289440349677,"score_gpt":0.2189997389835951,"score_spread":0.2026368445800983,"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."}}