{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002042483,0.003312917,0.005276811,0.003847635,0.001421424,0.0004943082,0.007107001,0.00344899,0.04727645],"category_scores_gemma":[0.0005010933,0.004253714,0.002310882,0.003202195,0.002439357,0.001483317,0.003660227,0.002886724,0.03687533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885112,"about_ca_system_score_gemma":0.002299934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03520965,"about_ca_topic_score_gemma":0.02601014,"domain_scores_codex":[0.9854218,0.002161775,0.001756778,0.004105197,0.003271145,0.003283277],"domain_scores_gemma":[0.9877396,0.0014291,0.003549146,0.004627794,0.001141654,0.001512671],"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":[0.002502532,0.001329078,0.008711491,0.002521927,0.006397334,0.002901613,0.005195051,0.00007082691,0.002207093,0.005309676,0.9587185,0.004134867],"study_design_scores_gemma":[0.008042333,0.0005661455,0.0156571,0.004337693,0.004191206,0.000101349,0.004067815,0.0003028759,0.0002284187,0.0005754694,0.9579338,0.003995767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01241434,0.003924217,0.0009920733,0.003595095,0.00250222,0.004303088,0.02286602,0.001522715,0.9478802],"genre_scores_gemma":[0.03095884,0.001934862,0.00213857,0.0005081282,0.001192874,0.000007958783,0.003898453,0.0014999,0.9578604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01896757,"threshold_uncertainty_score":0.9998786,"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."}}