{"id":"W2082239870","doi":"10.1503/cmaj.1041704","title":"Right reaction, wrong response","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Witness; Perspective (graphical); Computer science; First trimester; Medical education; Medicine; Pregnancy; Programming language; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002042001,0.00009217608,0.0001807371,0.0002670221,0.0003303408,0.00001863708,0.0001126782,0.0005660412,0.005114056],"category_scores_gemma":[0.004588565,0.00007897418,0.00009053279,0.0002324243,0.00006408592,0.0001328752,0.000009069177,0.001429842,0.0006276576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682383,"about_ca_system_score_gemma":0.002304926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001273753,"about_ca_topic_score_gemma":0.002325151,"domain_scores_codex":[0.9982662,0.0001662486,0.0003150706,0.0001707605,0.0007167735,0.0003649354],"domain_scores_gemma":[0.9981552,0.00009908248,0.0001532703,0.0001645994,0.0003685323,0.001059335],"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":[0.0003798168,0.00020296,0.1596358,0.00001114326,0.0005581853,0.003317881,0.0003539585,0.000001478326,0.0009040365,0.001643149,0.5423441,0.2906475],"study_design_scores_gemma":[0.0008110304,0.00006015105,0.2125086,0.00007615107,0.00003771844,0.003542457,0.00009236233,0.00001540096,0.000265546,0.0001918171,0.7823191,0.00007959296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5544008,0.0009376277,0.0001011316,0.4204063,0.0009495076,0.0001394752,0.000004911749,0.0001082029,0.02295202],"genre_scores_gemma":[0.9806368,0.00009869487,0.0003448975,0.0082774,0.002321046,0.000003877407,0.000004538378,0.00001562955,0.008297093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426236,"threshold_uncertainty_score":0.9957954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005951542155580713,"score_gpt":0.2444740312009223,"score_spread":0.2385224890453416,"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."}}