{"id":"W2111542941","doi":"10.2214/ajr.180.1.1800047","title":"Exploring and Summarizing Radiologic Data","year":2003,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Radiology practices and education","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Medical physics; MEDLINE; Radiology","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":[0.01659109,0.0008734022,0.0006324385,0.01476156,0.001300516,0.008667173,0.001477141,0.00123384,0.003171443],"category_scores_gemma":[0.09028025,0.0006082023,0.0009319512,0.01066244,0.00145441,0.00903925,0.004463917,0.001645471,0.001463233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110782,"about_ca_system_score_gemma":0.004351078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00314026,"about_ca_topic_score_gemma":0.004685488,"domain_scores_codex":[0.984332,0.007337941,0.002920541,0.0009093745,0.004112457,0.0003876839],"domain_scores_gemma":[0.9053059,0.06686324,0.006762216,0.01028924,0.009798609,0.000980847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000400564,0.0001704589,0.03382201,0.002529504,0.000226719,0.0008793657,0.01481717,0.004930196,0.01784126,0.03101552,0.03149935,0.8618678],"study_design_scores_gemma":[0.0001652361,0.0006479141,0.05003947,0.005098268,0.00106092,0.003515853,0.05042897,0.03809419,0.0645626,0.2163219,0.5694149,0.0006498755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3266623,0.01795747,0.5283747,0.04820514,0.001033998,0.002379437,0.03674724,0.009433449,0.02920633],"genre_scores_gemma":[0.2690706,0.008681636,0.6924642,0.0008331966,0.0005528656,0.0004855753,0.0242475,0.0006837941,0.00298064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01659109,"threshold_uncertainty_score":0.0877431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2913003058925791,"score_gpt":0.3561394611069557,"score_spread":0.06483915521437661,"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."}}