{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710563,0.0007824785,0.0005994124,0.0005954544,0.002275059,0.002772813,0.001300932,0.006362431,0.1144162],"category_scores_gemma":[0.02456727,0.0002362331,0.000694837,0.0002810597,0.001593777,0.002396538,0.001868331,0.01046807,0.04052216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853626,"about_ca_system_score_gemma":0.001575148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004683289,"about_ca_topic_score_gemma":0.004129963,"domain_scores_codex":[0.9973294,0.001038403,0.0001968672,0.0004286529,0.0005600411,0.0004466204],"domain_scores_gemma":[0.9956827,0.001414932,0.0002939909,0.0002819023,0.001768391,0.0005579813],"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":[0.0006239893,0.00007768849,0.002062203,0.0001717322,0.00001945874,0.008886605,0.002946675,0.00009036818,0.001537812,0.008402742,0.9422085,0.03297224],"study_design_scores_gemma":[0.0001217297,0.0001934733,0.001940188,0.0009085842,0.00003629695,0.02926174,0.008953672,0.0004406126,0.001712174,0.009310861,0.9469861,0.0001345089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01286107,0.002947303,0.007262687,0.6844059,0.07441709,0.0003902195,0.001311826,0.001850415,0.2145536],"genre_scores_gemma":[0.1590655,0.002888941,0.006253722,0.4658157,0.009840785,0.0004469662,0.0005356402,0.0009745802,0.3541782],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1144162,"threshold_uncertainty_score":0.3827602,"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."}}