{"id":"W7017830290","doi":"","title":"Avvikelseavkastning i samband med resultatöverraskningar på OMXS30 - En eventstudie","year":2023,"lang":"en","type":"other","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Event (particle physics); Event study; Window (computing); Abnormal return","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":[0.005643902,0.0007191073,0.0006712462,0.003872944,0.0003492872,0.003689007,0.0005671948,0.0005370227,0.01771953],"category_scores_gemma":[0.0151541,0.0002643893,0.0005410959,0.003646631,0.00029969,0.001175155,0.001322046,0.0005469287,0.01189134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005635338,"about_ca_system_score_gemma":0.0008852315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204878,"about_ca_topic_score_gemma":0.002294315,"domain_scores_codex":[0.9951369,0.0008297398,0.0008810397,0.0007065907,0.002121383,0.000324376],"domain_scores_gemma":[0.9784882,0.009162943,0.006689354,0.001931977,0.003060027,0.0006674857],"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":[0.002101406,0.0006697387,0.2843488,0.002062266,0.0003132674,0.001171173,0.001615894,0.003481001,0.006503996,0.00267868,0.1086845,0.5863693],"study_design_scores_gemma":[0.0001465877,0.0009370626,0.6104627,0.0007955706,0.0003269798,0.002086409,0.002437808,0.007004661,0.02625178,0.00304835,0.3463203,0.0001816721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7309048,0.006707834,0.02149879,0.002087352,0.0008734816,0.0007849375,0.1645903,0.004268053,0.06828447],"genre_scores_gemma":[0.7053885,0.006089092,0.04401636,0.0003573141,0.001030069,0.00084059,0.1879781,0.001545647,0.05275443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771953,"threshold_uncertainty_score":0.05927777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563825804466604,"score_gpt":0.3002067946906336,"score_spread":0.2745685366459676,"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."}}