{"id":"W7015629159","doi":"","title":"Tehokkaat ja tilastollisesti pätevät regressiomenetelmät genominlaajuisten assosiaatiotutkimusten suorittamiseen","year":2025,"lang":"en","type":"other","venue":"Aaltodoc (Aalto University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Population; Identification (biology); Set (abstract data type); Noise (video); Feature (linguistics); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004011146,0.001712247,0.001886046,0.007998988,0.0004814875,0.0002083184,0.002998614,0.001770399,0.007301945],"category_scores_gemma":[0.0002774809,0.00198908,0.0007245547,0.004741159,0.0006041296,0.000412463,0.001288728,0.001264936,0.01357127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156677,"about_ca_system_score_gemma":0.001791834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174197,"about_ca_topic_score_gemma":0.001051991,"domain_scores_codex":[0.9932709,0.0006041411,0.0007150842,0.0023903,0.001235277,0.001784271],"domain_scores_gemma":[0.9943328,0.0003494694,0.001339174,0.00270127,0.0004070437,0.0008702679],"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":[0.0002508307,0.0002577681,0.0008378511,0.0004460186,0.001050315,0.001088276,0.00009716434,0.00004790552,0.0004471784,0.0089237,0.9841847,0.002368297],"study_design_scores_gemma":[0.002621914,0.0001331729,0.0004811699,0.001704809,0.0009951546,0.00002488624,0.0002210771,0.00004321146,0.0001568407,0.00007137114,0.9917093,0.001837093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001412778,0.001350206,0.000217622,0.0002707831,0.001182764,0.001677016,0.002651426,0.00248854,0.9900204],"genre_scores_gemma":[0.0006373138,0.0006565012,0.002030086,0.000212988,0.0008942002,0.000008874441,0.0008731144,0.001952326,0.9927346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008852329,"threshold_uncertainty_score":0.9995624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009337516333480952,"score_gpt":0.2102746717594109,"score_spread":0.20093715542593,"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."}}