{"id":"W4245845092","doi":"10.1503/cmaj.1041751","title":"Editor's note","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; BC Cancer Agency","funders":"","keywords":"Computer science; Data science; World Wide Web; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005494697,0.001652423,0.002283816,0.001330302,0.002147022,0.003995067,0.003899217,0.01372571,0.04115056],"category_scores_gemma":[0.04659426,0.0007476794,0.002063943,0.001224015,0.001242363,0.003392674,0.00165474,0.0181423,0.03026792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244732,"about_ca_system_score_gemma":0.006677111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058027,"about_ca_topic_score_gemma":0.007501782,"domain_scores_codex":[0.9952678,0.0005214173,0.0005778492,0.0007333882,0.002465218,0.000434323],"domain_scores_gemma":[0.9704798,0.006207179,0.00165612,0.0009103042,0.01726145,0.003485214],"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":[0.00001337231,0.000008689056,0.00006647474,0.00005119956,0.00000410165,0.0002056374,0.00001402943,0.00001655246,0.00002854967,0.0002299516,0.995245,0.004116506],"study_design_scores_gemma":[0.00002683833,0.00002447698,0.000424366,0.0002124488,0.00001234676,0.0007355113,0.00008130718,0.0001281271,0.0001731098,0.0006200875,0.9975333,0.00002800727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002116247,0.001511433,0.0002504351,0.289903,0.7022024,0.00005338457,0.0002323152,0.0001592648,0.005476074],"genre_scores_gemma":[0.003294095,0.002689167,0.001074304,0.4075595,0.531512,0.0001207596,0.0001361013,0.0001218968,0.05349215],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04115056,"threshold_uncertainty_score":0.1376623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004435364679662583,"score_gpt":0.229629221305666,"score_spread":0.2251938566260034,"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."}}