{"id":"W7006417795","doi":"","title":"Työkyvyttömyyseläketaustan vaikutus vanhuuseläkeläisten toimeentuloon ja sen kehitykseen","year":2017,"lang":"fi","type":"other","venue":"Tampere University Institutional Repository (Tampere University)","topic":"Dermatological and Skeletal Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Data collection; Population; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007123391,0.0007024013,0.0005775872,0.0005482822,0.001269189,0.003591981,0.0007837266,0.001051972,0.0506885],"category_scores_gemma":[0.0009322513,0.0003995784,0.000771963,0.0002796481,0.001079019,0.00194549,0.002668365,0.002319008,0.01330018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273217,"about_ca_system_score_gemma":0.001742024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585027,"about_ca_topic_score_gemma":0.007049008,"domain_scores_codex":[0.9993858,0.00006039849,0.00004735147,0.0001433855,0.0002450687,0.0001180167],"domain_scores_gemma":[0.9993642,0.0001371085,0.00008445542,0.0000691997,0.0002266538,0.0001183775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002397752,0.0004695911,0.005328851,0.001905596,0.0001433987,0.001810754,0.001747643,0.0005611914,0.4859267,0.02972643,0.0265081,0.4434738],"study_design_scores_gemma":[0.00007207851,0.0009698017,0.01189131,0.0006045423,0.0001255768,0.002771127,0.001863959,0.001097009,0.1548184,0.005778172,0.8199073,0.0001007497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2590448,0.07251146,0.06563542,0.02084947,0.01334645,0.0005495764,0.002312049,0.002364294,0.5633866],"genre_scores_gemma":[0.2536584,0.02778902,0.03896006,0.004040878,0.001309612,0.0004152797,0.001316127,0.0008970873,0.6716136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0506885,"threshold_uncertainty_score":0.16957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00789384706630246,"score_gpt":0.1852990108050616,"score_spread":0.1774051637387591,"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."}}