{"id":"W4226232153","doi":"10.33112/nm.17.2.6","title":"Saammaateqatigiinnissamut isumalioqatigiissitaq: namminersulivinnissammut siuariaatissaq?","year":2022,"lang":"fi","type":"article","venue":"Nordicum-Mediterraneum","topic":"Restraint-Related Deaths","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002750411,0.002151873,0.00276989,0.00172492,0.002300347,0.0004346439,0.002400146,0.00111395,0.04636982],"category_scores_gemma":[0.001316748,0.002316775,0.00133415,0.003164653,0.001166895,0.0008244269,0.001737074,0.005832129,0.003876982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001827678,"about_ca_system_score_gemma":0.001885502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117418,"about_ca_topic_score_gemma":0.0000769434,"domain_scores_codex":[0.9835352,0.001616231,0.003262236,0.002969244,0.005065411,0.003551708],"domain_scores_gemma":[0.9911652,0.001135942,0.0014306,0.003542649,0.0005090962,0.002216508],"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":[0.005837987,0.007129434,0.03566891,0.003108192,0.007085287,0.03225929,0.02927133,0.003151702,0.07596156,0.004626048,0.6866294,0.1092708],"study_design_scores_gemma":[0.01301559,0.005901048,0.01635945,0.0009387629,0.002621038,0.004469524,0.006182255,0.007821958,0.001276488,0.0006434206,0.9373814,0.003389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6827947,0.02813591,0.001659312,0.04714233,0.04602791,0.008386667,0.002939514,0.002490948,0.1804227],"genre_scores_gemma":[0.907914,0.0006809778,0.0006694325,0.0037334,0.005626253,0.0007686195,0.003178297,0.0006411425,0.07678792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.250752,"threshold_uncertainty_score":0.9991222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044589919970595,"score_gpt":0.2678030528371941,"score_spread":0.2473571536374882,"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."}}