{"id":"W2148998664","doi":"","title":"The Impact of Diagnostic Imaging Investments on the Canadian Healthcare System","year":2009,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health care; Medical imaging; Healthcare system; Business; Computer science; Economics; Artificial intelligence; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810077,0.0001682224,0.0002236954,0.0001204346,0.0006864925,0.00004719995,0.0001942188,0.00005178952,0.000009372078],"category_scores_gemma":[0.00053984,0.00009098297,0.0001354644,0.0003536044,0.00005173686,0.00005529301,0.00000681513,0.0005175918,0.00002339913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003112621,"about_ca_system_score_gemma":0.003545939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1119903,"about_ca_topic_score_gemma":0.03470678,"domain_scores_codex":[0.9982325,0.0001673734,0.0003263735,0.0002093659,0.0003133465,0.0007509852],"domain_scores_gemma":[0.998354,0.000440886,0.0001495828,0.0005214403,0.0001576963,0.0003764574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003635545,0.0001787566,0.506368,0.0003538877,0.0003898843,0.0001285945,0.003274762,0.0001682255,0.0006093973,0.1603855,0.04203875,0.2857407],"study_design_scores_gemma":[0.0008120605,0.001423763,0.9871414,0.0005619724,0.00004587489,0.0001521684,0.0008969685,0.002788932,0.001596095,0.001126014,0.003251778,0.0002030061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7320887,0.01815109,0.000003573982,0.242893,0.0001554698,0.001446464,0.00002245915,0.00008715301,0.005152159],"genre_scores_gemma":[0.9933578,0.0002838145,0.000003339736,0.006064483,0.0001532064,0.00002840779,0.00002189199,0.00001915132,0.00006789494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807733,"threshold_uncertainty_score":0.9829073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352590400126895,"score_gpt":0.3181698325371007,"score_spread":0.3046439285358318,"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."}}