{"id":"W2413149168","doi":"","title":"More scans, more scanners.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Best practice; Medical physics; Business; Computer science; Medicine; Management; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001333114,0.0001047424,0.0001000687,0.00002834807,0.00004876286,0.00001586461,0.000196208,0.000160086,0.00001421651],"category_scores_gemma":[0.0001282562,0.00009024948,0.00006415993,0.00006909658,0.0001887121,0.000001712479,0.00007788497,0.00007452831,0.0000138775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001397007,"about_ca_system_score_gemma":0.00002169494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001209296,"about_ca_topic_score_gemma":0.00001853439,"domain_scores_codex":[0.9991426,0.00001714216,0.0001201092,0.0002539131,0.0001189834,0.0003472425],"domain_scores_gemma":[0.9995472,0.00000615677,0.00003373441,0.0002488281,0.00002634001,0.0001377777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000348265,0.00004899753,0.003942918,0.000007997223,0.00004221194,0.000003775442,0.00005922798,0.00002306345,0.001726519,0.00001998168,0.06157959,0.9325109],"study_design_scores_gemma":[0.0004567136,0.00003294681,0.1382475,0.000003344481,0.00001379698,0.00001820616,0.0001587791,0.000044419,0.01951603,0.00001744754,0.8412846,0.0002062315],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751242,0.003368841,0.0004500986,0.0124162,0.000272689,0.0002916821,0.00002387404,0.0000919492,0.007960452],"genre_scores_gemma":[0.9916785,0.00008712438,0.001174542,0.001837944,0.0006325273,0.0002663587,0.00004591139,0.00001410898,0.004263032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9323047,"threshold_uncertainty_score":0.3680267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540697760120781,"score_gpt":0.2455852178345929,"score_spread":0.2301782402333851,"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."}}