{"id":"W4417474102","doi":"10.1001/jamaoncol.2025.5376","title":"Enhancing Clinical Cancer Research Through Sharing of Data and Biospecimens","year":2025,"lang":"en","type":"article","venue":"JAMA Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Structural Genomics Consortium; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Data sharing; Clinical trial; Quality (philosophy); MEDLINE; Patient data; Stakeholder; Data quality; Stakeholder engagement","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068865,0.00007071056,0.0002031307,0.00004063613,0.00006436674,0.00001734348,0.000408712,0.0002461988,0.0000226969],"category_scores_gemma":[0.000541473,0.00007051953,0.00002930907,0.0001145958,0.0002568476,0.000005119657,0.001551296,0.0002004082,0.000001997339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003665021,"about_ca_system_score_gemma":0.0004924278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004040312,"about_ca_topic_score_gemma":0.002019354,"domain_scores_codex":[0.9988467,0.00008452636,0.0003249284,0.0004635452,0.00006832617,0.0002119959],"domain_scores_gemma":[0.9988494,0.0002737295,0.00007202128,0.0006173154,0.0001463487,0.00004120817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006647072,0.0003936356,0.07827271,0.0001649942,0.0003874337,0.00001958956,0.0002640032,0.00001860562,0.6183212,0.01106069,0.1064915,0.1839409],"study_design_scores_gemma":[0.001304983,0.0004885847,0.009090166,0.00005842464,0.00003904274,0.00000545834,0.0002491623,0.0001210988,0.1021269,0.001787703,0.8846127,0.0001156991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799872,0.006187037,0.0007814849,0.002336103,0.0004792701,0.0001645469,0.0001200164,0.000003988509,0.009940367],"genre_scores_gemma":[0.9798543,0.01425524,0.003457114,0.00103926,0.0006062596,0.0000188241,0.00008120966,0.00001127838,0.0006764957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7781212,"threshold_uncertainty_score":0.2875703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394081909485796,"score_gpt":0.5028676831765788,"score_spread":0.3634594922279992,"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."}}