{"id":"W4389397321","doi":"10.1002/pbc.30796","title":"SIOP pediatric oncology services Global Mapping Program: Latin American data collection","year":2023,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Foundation S","keywords":"Medicine; Latin Americans; General partnership; Pediatric oncology; Family medicine; Data collection; Cancer; Internal medicine; Statistics","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":[0.01248332,0.0008105275,0.0005863195,0.007182895,0.001663404,0.002025829,0.002312517,0.0004388995,0.03658659],"category_scores_gemma":[0.01686245,0.0006090971,0.0004577902,0.01123624,0.0005230343,0.001169851,0.004050406,0.001470966,0.005830663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004832252,"about_ca_system_score_gemma":0.02500743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07419435,"about_ca_topic_score_gemma":0.06926572,"domain_scores_codex":[0.9955252,0.002035896,0.0006115648,0.0004300793,0.0008395214,0.0005577632],"domain_scores_gemma":[0.9838939,0.001673845,0.001918993,0.001739557,0.009290221,0.001483403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004383804,0.0006918588,0.1194734,0.001498851,0.00009437762,0.000478967,0.006826547,0.0009198842,0.001417346,0.005270326,0.6173574,0.2455326],"study_design_scores_gemma":[0.0002775742,0.0001497171,0.15224,0.0007574239,0.00003937407,0.0001909425,0.005703049,0.001157156,0.001425681,0.001130557,0.836885,0.00004353302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1046558,0.001048709,0.03757464,0.01525229,0.0009087805,0.08382122,0.5297492,0.003812061,0.2231773],"genre_scores_gemma":[0.1580562,0.003320878,0.1964294,0.007067756,0.0005797636,0.2371711,0.3404155,0.001640229,0.05531927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07419435,"threshold_uncertainty_score":0.147525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913158945843773,"score_gpt":0.422000814250159,"score_spread":0.3828692247917213,"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."}}