{"id":"W60801086","doi":"","title":"The digital readiness of imaging facilities in Saskatchewan.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal University Hospital","funders":"","keywords":"Medicine; Digital imaging; The Internet; Radiology information systems; Quality (philosophy); Internet access; Digital image; Medical physics; Medical emergency; Radiology; World Wide Web; Computer science; Artificial intelligence; Image processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007577524,0.0001606748,0.00009956962,0.000952946,0.0007438092,0.001067161,0.0007301334,0.0003083742,0.00509593],"category_scores_gemma":[0.004357818,0.0002696488,0.00012569,0.001793396,0.0007208521,0.000513435,0.001147649,0.0003725032,0.0005093936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007545826,"about_ca_system_score_gemma":0.01574531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6004503,"about_ca_topic_score_gemma":0.7711287,"domain_scores_codex":[0.9990428,0.000218534,0.00006616708,0.00008495049,0.0002456345,0.0003417499],"domain_scores_gemma":[0.9944307,0.001347418,0.001466518,0.0001994429,0.001353225,0.001202676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008657029,0.00003925472,0.9655488,0.0001464835,0.00002604443,0.000389904,0.001390225,0.0002434808,0.001663534,0.0001791258,0.002210967,0.02807561],"study_design_scores_gemma":[0.00001241559,0.00007963552,0.9874858,0.00009044996,0.00001538672,0.0004404047,0.00630396,0.000219659,0.0004132641,0.00007057538,0.004852123,0.00001630244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917984,0.0005379334,0.0003276193,0.001350876,0.00001329412,0.00005758378,0.001407892,0.00002023923,0.004486136],"genre_scores_gemma":[0.9967194,0.0004750836,0.0006372804,0.0003966089,0.000005878409,0.0000368688,0.0005734334,0.000004535612,0.001150931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3995497,"threshold_uncertainty_score":0.8038054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008897869362543092,"score_gpt":0.2018497270968765,"score_spread":0.1929518577343334,"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."}}