{"id":"W1803014567","doi":"","title":"Warning for surgeons: measure twice, cut once","year":2003,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurosurgery; Medicine; Measure (data warehouse); General surgery; Surgery; Medical physics; Computer science; Data mining","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00421776,0.0002557756,0.0004099346,0.00006934125,0.0006635402,0.00002709031,0.0002892836,0.000201157,0.001371428],"category_scores_gemma":[0.03218885,0.0002156609,0.0001203011,0.0004093718,0.00008567943,0.0002730479,0.00005945537,0.001025776,0.0006089159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616325,"about_ca_system_score_gemma":0.000576543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007484483,"about_ca_topic_score_gemma":0.00006317016,"domain_scores_codex":[0.9942099,0.001983552,0.0007236546,0.0005385148,0.0004866494,0.002057659],"domain_scores_gemma":[0.9952759,0.002721014,0.0003103218,0.0005595713,0.0003385215,0.0007946294],"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":[0.0007730402,0.000776344,0.6037328,0.001914814,0.0002495089,0.00009654872,0.05025787,0.00002129834,0.0006379662,0.04391414,0.270387,0.02723874],"study_design_scores_gemma":[0.0009679437,0.0000514444,0.02731692,0.000185653,0.00006239261,0.000002834838,0.00174791,0.00001683695,0.0002182447,0.0002799209,0.9689074,0.0002425327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7822576,0.002456427,0.004571518,0.0275234,0.01015342,0.006997478,0.00006604248,0.0008187119,0.1651554],"genre_scores_gemma":[0.9769529,0.0004327024,0.001424877,0.003563076,0.0008655332,0.000747039,0.00002639361,0.0000922762,0.0158952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6985204,"threshold_uncertainty_score":0.9995415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07509716112289684,"score_gpt":0.3581813384513618,"score_spread":0.283084177328465,"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."}}