{"id":"W4384126452","doi":"10.1002/pbc.30567","title":"Children's Oncology Group's 2023 blueprint for research: Young investigators","year":2023,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Cancer Institute","keywords":"Cog; Blueprint; Mentorship; Pipeline (software); Medicine; Medical education; Computer science; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07138717,0.001587803,0.001350117,0.003433116,0.00537078,0.01381632,0.005143631,0.02399055,0.05233394],"category_scores_gemma":[0.06421476,0.001962749,0.001638313,0.003150186,0.004738964,0.005290907,0.01314898,0.027943,0.05032876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008798898,"about_ca_system_score_gemma":0.1147887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018008,"about_ca_topic_score_gemma":0.03427926,"domain_scores_codex":[0.957704,0.01184177,0.002828389,0.002630827,0.01527801,0.00971709],"domain_scores_gemma":[0.7968257,0.01714625,0.006773653,0.009278561,0.03471538,0.1352604],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001724306,0.00002805383,0.000179743,0.00003548282,0.000002407731,0.00002993809,0.00002485527,0.00001713979,0.00005913067,0.001838773,0.9881791,0.009588039],"study_design_scores_gemma":[0.0001047752,0.0000446976,0.001109362,0.0002028637,0.000004806434,0.00007762802,0.0001263452,0.00005608506,0.0001070712,0.001854977,0.9962904,0.00002087402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0009257761,0.003680553,0.006847148,0.7829782,0.1238984,0.001599966,0.001824491,0.001612535,0.07663295],"genre_scores_gemma":[0.00746862,0.006775634,0.04105693,0.5930481,0.04791404,0.004004153,0.004709825,0.001823471,0.2931993],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9286128,"threshold_uncertainty_score":0.3775359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3155055894572395,"score_gpt":0.5148709462227957,"score_spread":0.1993653567655562,"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."}}