{"id":"W6983341769","doi":"","title":"Määräaikaisten palvelussuhteiden sääntely Suomessa ja Ruotsissa","year":2016,"lang":"fi","type":"other","venue":"Osuva (University of Vaasa)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin)","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":[0.0003391464,0.0005283422,0.0007379551,0.0002913533,0.0002347054,0.00002798967,0.001299661,0.001104316,0.01826429],"category_scores_gemma":[0.00006404249,0.0005506223,0.0006037037,0.0002003301,0.001300763,0.00001028293,0.0009036354,0.0003017909,0.00242795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006951705,"about_ca_system_score_gemma":0.0004750688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005540323,"about_ca_topic_score_gemma":0.0006087784,"domain_scores_codex":[0.9971114,0.0002164544,0.0002809264,0.001003657,0.0006105365,0.0007770278],"domain_scores_gemma":[0.9976298,0.00004757256,0.0004208591,0.001204938,0.000313105,0.000383712],"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":[0.001300285,0.0004777846,0.004619715,0.000902308,0.002860021,0.0003208665,0.0005895211,0.000006222449,0.08758922,0.002328921,0.7135141,0.185491],"study_design_scores_gemma":[0.001933054,0.0006234698,0.004081947,0.0003038155,0.0001898498,0.00002271565,0.0009245178,0.00001031643,0.002930849,0.000159805,0.9881204,0.0006993093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02807991,0.004074751,0.001917431,0.001926589,0.0004907881,0.0006524232,0.0006564172,0.00003249364,0.9621692],"genre_scores_gemma":[0.107822,0.005663203,0.001050027,0.00006811947,0.0003717948,7.842426e-7,0.0002753325,0.0001503847,0.8845983],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2746062,"threshold_uncertainty_score":0.9996945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262286965469071,"score_gpt":0.2410130152818467,"score_spread":0.228390145627156,"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."}}