{"id":"W2319816135","doi":"10.1142/9789812793867_0046","title":"MEDICAL IMAGING APPLICATIONS IN PRE-CLINICAL AND CLINICAL MEDICINE","year":2000,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medical imaging; Computer science; Medical physics; Medicine; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002282607,0.0007531511,0.0006165595,0.00290604,0.0009555083,0.002951835,0.0009590064,0.002035434,0.02070677],"category_scores_gemma":[0.005605378,0.0004061203,0.0003984455,0.002309214,0.001761442,0.001960385,0.001877827,0.002045271,0.007762651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889171,"about_ca_system_score_gemma":0.001305926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006044285,"about_ca_topic_score_gemma":0.001296851,"domain_scores_codex":[0.9990822,0.0004183014,0.00009255158,0.00006484006,0.00027798,0.00006414182],"domain_scores_gemma":[0.9952936,0.002335446,0.0002255076,0.0004004955,0.001339051,0.0004058567],"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":[0.0001407493,0.000140198,0.002671845,0.002795991,0.0000424059,0.001626413,0.0008527747,0.0005842668,0.01822613,0.06136319,0.05688893,0.854667],"study_design_scores_gemma":[0.00002589053,0.0002180497,0.005201804,0.002065929,0.00008564477,0.01387701,0.0009067688,0.001619627,0.01720182,0.063126,0.8956105,0.0000609615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0206002,0.5621308,0.1476629,0.03093211,0.009353383,0.0002804779,0.0003078829,0.001261424,0.2274709],"genre_scores_gemma":[0.2263685,0.4404044,0.202438,0.01167597,0.01334317,0.0003567518,0.0003602397,0.000447724,0.1046051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02070677,"threshold_uncertainty_score":0.06927103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991891097293881,"score_gpt":0.4600671573641731,"score_spread":0.4201482463912343,"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."}}