{"id":"W2625457408","doi":"10.1055/s-0032-1308205","title":"Schmerzen evaluieren","year":2008,"lang":"de","type":"article","venue":"physiopraxis","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gynecology; Medicine; Political 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003013928,0.0004319102,0.001400548,0.0001459635,0.0002865717,0.00002712284,0.0002285902,0.000227717,0.002477141],"category_scores_gemma":[0.0003143479,0.0003633476,0.001149041,0.0004987991,0.0003277118,0.000138747,0.00009890016,0.0004422771,0.02026184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072731,"about_ca_system_score_gemma":0.0002666701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001896561,"about_ca_topic_score_gemma":8.024873e-7,"domain_scores_codex":[0.9970584,0.000197551,0.0004883071,0.0005844622,0.0009568858,0.000714388],"domain_scores_gemma":[0.9978039,0.0005193298,0.0001223665,0.0008662372,0.0001620553,0.0005261343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006119442,0.005315036,0.4662885,0.002211569,0.01192012,0.01754876,0.01097692,0.00007732066,0.01196448,0.0260671,0.3360654,0.1054454],"study_design_scores_gemma":[0.001965679,0.0003151914,0.1583678,0.0001420055,0.0008173697,0.00008630061,0.00008491821,0.0001185011,0.001045991,0.00005408752,0.8365443,0.0004578972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6734577,0.09564755,0.0000365731,0.005550709,0.003339041,0.001152227,0.00003967493,0.0003523865,0.2204241],"genre_scores_gemma":[0.9274393,0.0113133,0.0002271413,0.001809482,0.004338849,0.00003299208,0.0000830115,0.00009188357,0.05466398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5004789,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117898515040683,"score_gpt":0.2800400762668669,"score_spread":0.2488610911164601,"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."}}