{"id":"W7020715420","doi":"","title":"Makrotaloudellisten uutisten vaikutus viikonpäiväilmiöön Suomen osakemarkkinoilla","year":2004,"lang":"fi","type":"other","venue":"Osuva (University of Vaasa)","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Statistical analysis; Quarter (Canadian coin); Unemployment","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":[0.002044078,0.0004964946,0.0004188236,0.001261059,0.002631739,0.009263465,0.0008348699,0.001565452,0.06711525],"category_scores_gemma":[0.004270051,0.0003651757,0.0004614369,0.00254058,0.0008310427,0.003536666,0.003542648,0.002967204,0.01798187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004947762,"about_ca_system_score_gemma":0.007258244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650562,"about_ca_topic_score_gemma":0.0401037,"domain_scores_codex":[0.9979153,0.0002933794,0.0001205451,0.0003871938,0.0009195601,0.0003639957],"domain_scores_gemma":[0.9972672,0.0007717388,0.000303512,0.0001911818,0.0008566563,0.0006096195],"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":[0.0007850823,0.0005387155,0.04008748,0.00107687,0.00008864504,0.001401449,0.01836159,0.0008917146,0.008883145,0.1600309,0.199982,0.5678724],"study_design_scores_gemma":[0.0000184358,0.00008071384,0.02283269,0.0002747197,0.0000196283,0.0002066292,0.004578636,0.0002236772,0.002430429,0.003551628,0.965754,0.00002886866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1244211,0.01166955,0.00735921,0.01953633,0.001636365,0.0001989039,0.003529182,0.0004420854,0.8312072],"genre_scores_gemma":[0.2818828,0.008173882,0.005890368,0.002453237,0.0003626174,0.0001745946,0.003494254,0.0003120177,0.6972562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06711525,"threshold_uncertainty_score":0.2245229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098337669160143,"score_gpt":0.2133597775142576,"score_spread":0.1923764008226562,"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."}}