{"id":"W3095965358","doi":"10.1136/jitc-2020-001389","title":"Society for Immunotherapy of Cancer clinical and biomarkers data sharing resource document: Volume I—conceptual challenges","year":2020,"lang":"en","type":"article","venue":"Journal for ImmunoTherapy of Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"National Cancer Institute","keywords":"Immunotherapy; Cancer immunotherapy; Medicine; Data science; Volume (thermodynamics); Resource (disambiguation); Cancer; Computer science; Internal medicine","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","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3116031,0.00135659,0.002832278,0.005084977,0.01008542,0.03342396,0.0146825,0.01701498,0.01790541],"category_scores_gemma":[0.2927841,0.002301691,0.003042936,0.007197698,0.01179319,0.02118175,0.02427028,0.02957891,0.01536701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02051159,"about_ca_system_score_gemma":0.1990206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103763,"about_ca_topic_score_gemma":0.01564798,"domain_scores_codex":[0.7472172,0.111018,0.03017891,0.009348248,0.09263287,0.009604733],"domain_scores_gemma":[0.5210918,0.1722456,0.02365517,0.06905204,0.1761038,0.03785157],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007153729,0.0001352404,0.001146814,0.0006469516,0.00005300996,0.0001058685,0.000867368,0.0007900511,0.0005000338,0.112856,0.8243809,0.05844626],"study_design_scores_gemma":[0.0000597174,0.00008263447,0.0007319007,0.001278137,0.00003239115,0.0001589172,0.0006148505,0.0009908385,0.000460594,0.02278509,0.972719,0.00008599585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001977947,0.003763126,0.03802957,0.8611771,0.02505319,0.005583121,0.003296059,0.0008603673,0.06025944],"genre_scores_gemma":[0.04853987,0.01377801,0.2534452,0.4619226,0.03653583,0.02129367,0.02375934,0.002745614,0.1379798],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9853175,"threshold_uncertainty_score":0.848916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.130948758207657,"score_gpt":0.413158312917038,"score_spread":0.282209554709381,"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."}}