{"id":"W4236149930","doi":"10.1503/cmaj.070554","title":"Imaging possibilities","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suite; Computer science; Foundation (evidence); Library science; Data science; World Wide Web; Computer graphics (images); Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00282272,0.001053548,0.0006233069,0.001259222,0.001781609,0.005409832,0.002122562,0.004564831,0.09847497],"category_scores_gemma":[0.004073734,0.0005787671,0.001056448,0.0005505203,0.003565027,0.008767746,0.004472321,0.004011709,0.03033908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546251,"about_ca_system_score_gemma":0.001105963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426096,"about_ca_topic_score_gemma":0.001651489,"domain_scores_codex":[0.9988508,0.0002720292,0.00004051231,0.0002449834,0.000379754,0.0002119254],"domain_scores_gemma":[0.9980001,0.000637074,0.00006636298,0.0004499331,0.0004282582,0.0004182379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001971075,0.00005172255,0.000384003,0.0004486101,0.00003118887,0.0004500926,0.0004214328,0.0006935567,0.002124133,0.684822,0.18879,0.1215861],"study_design_scores_gemma":[0.0000221407,0.00002948474,0.0001350159,0.0002306894,0.00001256005,0.000977869,0.0001657346,0.0003540131,0.000634598,0.1549304,0.8424804,0.00002709126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.003354192,0.05386401,0.07770187,0.09451708,0.008244355,0.0001124859,0.001210903,0.001736964,0.759258],"genre_scores_gemma":[0.2266246,0.08348202,0.1603264,0.05096626,0.01697321,0.001065419,0.003180984,0.001461688,0.4559196],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09847497,"threshold_uncertainty_score":0.3294317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004799708294048373,"score_gpt":0.2665786422480327,"score_spread":0.2617789339539843,"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."}}