{"id":"W7062376704","doi":"","title":"Työperäinen maahanmuutto sekä Suomen huoltosuhde ja työllisyysaste","year":2012,"lang":"fi","type":"other","venue":"Jyväskylä University Digital Archive (University of Jyväskylä)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Affect (linguistics); Work (physics); 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":[0.001821353,0.0008449036,0.001032014,0.001063297,0.001762118,0.005631787,0.0009487456,0.001493724,0.08132312],"category_scores_gemma":[0.002888073,0.0004821015,0.001288909,0.0006984663,0.001172533,0.0036434,0.003185262,0.003274568,0.02411398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480714,"about_ca_system_score_gemma":0.003735901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060768,"about_ca_topic_score_gemma":0.00421611,"domain_scores_codex":[0.9984105,0.0002327938,0.0001431225,0.0003027255,0.0006098328,0.0003009991],"domain_scores_gemma":[0.9978625,0.0004513522,0.0002791609,0.0001857542,0.000695999,0.0005251486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003829797,0.001498905,0.01828054,0.005105739,0.0002777454,0.005381163,0.006864523,0.0009876094,0.1239494,0.03632293,0.06641469,0.7310869],"study_design_scores_gemma":[0.0001367087,0.001077095,0.02025073,0.001015979,0.0002086149,0.004322703,0.004703612,0.0008799516,0.0376997,0.007588837,0.9219657,0.0001503136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2827026,0.08059385,0.04960181,0.02505424,0.009553635,0.001043394,0.003611498,0.002650645,0.5451884],"genre_scores_gemma":[0.4014777,0.03863119,0.02816707,0.003844524,0.001926846,0.0006103491,0.003206956,0.001157553,0.5209779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08132312,"threshold_uncertainty_score":0.2720529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007689756977420308,"score_gpt":0.1752104319974267,"score_spread":0.1675206750200064,"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."}}