{"id":"W4256306407","doi":"10.1503/cmaj.060640","title":"Corrections","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Information retrieval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007019027,0.001707307,0.001229609,0.005704268,0.005351313,0.005889351,0.003963911,0.003844926,0.3437701],"category_scores_gemma":[0.1451595,0.001148989,0.001640082,0.004125332,0.002134663,0.004079236,0.003144511,0.008759578,0.223096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005899296,"about_ca_system_score_gemma":0.008397502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02776606,"about_ca_topic_score_gemma":0.03553317,"domain_scores_codex":[0.9854054,0.002399388,0.001662246,0.001721481,0.007526834,0.001284712],"domain_scores_gemma":[0.8822675,0.01793914,0.00446963,0.00822602,0.08412603,0.002971705],"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":[0.00001008732,0.000002162823,0.00003460937,0.00002453102,0.00000121403,0.00002308581,0.00002940796,0.000008579591,0.00001435584,0.0007220538,0.9955866,0.003543271],"study_design_scores_gemma":[0.00001180943,0.000007353778,0.0004144232,0.0001254487,0.000004858298,0.00009769159,0.0001242641,0.00004882313,0.00009225257,0.00108007,0.9979774,0.00001553021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0006146769,0.001547526,0.002853485,0.1759662,0.7291674,0.0003119269,0.01247664,0.004194274,0.07286794],"genre_scores_gemma":[0.01123028,0.002318503,0.00509739,0.07890143,0.07724495,0.0006098363,0.01296259,0.004515525,0.8071195],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3437701,"threshold_uncertainty_score":0.9360323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06743061540740665,"score_gpt":0.3701853331176603,"score_spread":0.3027547177102536,"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."}}