{"id":"W6996672616","doi":"","title":"Sosiaalisen ulottuvuuden vahvistaminen EU:ssa : lähetettyjen työntekijöiden suojelu EUT:n ratkaisukäytännön ja direktiivin (EU) 2018/957 tavoitteiden valossa","year":2025,"lang":"fi","type":"other","venue":"Lauda (University of Lapland)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; State (computer science); Order (exchange)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461521,0.0004622267,0.0004511137,0.0008053005,0.002283369,0.004128869,0.000468934,0.001148208,0.03815848],"category_scores_gemma":[0.001482908,0.000279522,0.0004335119,0.0009658133,0.001090427,0.001559914,0.004144033,0.00139796,0.00843346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441563,"about_ca_system_score_gemma":0.004982355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254955,"about_ca_topic_score_gemma":0.0410745,"domain_scores_codex":[0.9986444,0.0002433843,0.00008430739,0.0003068692,0.0003998953,0.0003211453],"domain_scores_gemma":[0.9993074,0.0001341931,0.0001016177,0.00007373055,0.0002308995,0.0001521766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00224765,0.0005790637,0.06992129,0.003182519,0.0002666739,0.00326187,0.03314328,0.0007441789,0.1079207,0.110871,0.1267493,0.5411124],"study_design_scores_gemma":[0.00001815144,0.0001241658,0.01838524,0.0003207615,0.00004097283,0.0003251138,0.003440084,0.00004156015,0.006849451,0.001523391,0.9689104,0.00002077214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2679442,0.02801734,0.006686267,0.01170204,0.001831327,0.0002645497,0.00711879,0.0005973971,0.675838],"genre_scores_gemma":[0.501407,0.01365032,0.008383899,0.003840976,0.00032393,0.0003005117,0.006807334,0.0007980964,0.4644879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03815848,"threshold_uncertainty_score":0.1276528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176178214057704,"score_gpt":0.2120708777596674,"score_spread":0.2003090956190903,"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."}}