{"id":"W2942865184","doi":"10.3747/co.26.4393","title":"A Network Approach to Developing Immuno-Oncology Combinations in Canada","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Université de Montréal; William Osler Health System; Ottawa Hospital; Princess Margaret Cancer Centre; BC Cancer Agency; University of Toronto; Jewish General Hospital","funders":"Terry Fox Research Institute; Bristol-Myers Squibb Canada; Bristol-Myers Squibb","keywords":"Medicine; Excellence; Clinical trial; Biobank; Harmonization; Collaborative network; Leverage (statistics); Bioinformatics; Computer science; Internal medicine; Knowledge management; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01564202,0.0006359515,0.000519465,0.002352949,0.005719322,0.005742607,0.002226156,0.001251108,0.01208359],"category_scores_gemma":[0.02013412,0.0005581037,0.0008776732,0.004192514,0.002494747,0.001843899,0.005765932,0.002522031,0.0014404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09200772,"about_ca_system_score_gemma":0.3077498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9099467,"about_ca_topic_score_gemma":0.9565988,"domain_scores_codex":[0.9898691,0.003565643,0.0003652363,0.0008702863,0.00323602,0.002093672],"domain_scores_gemma":[0.9778382,0.002485055,0.001058582,0.0008237497,0.009052135,0.008742226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001048072,0.000302201,0.02582935,0.0007751955,0.0004048859,0.0009428184,0.00207581,0.01211754,0.001913499,0.1114673,0.5200548,0.3230686],"study_design_scores_gemma":[0.0004096698,0.000318196,0.01157725,0.0005936146,0.0002009744,0.0002043877,0.001683778,0.006213977,0.0009702657,0.02010923,0.9576162,0.0001023373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04969824,0.02236825,0.05667697,0.5139331,0.008265115,0.008093428,0.01381679,0.001932812,0.3252153],"genre_scores_gemma":[0.5434751,0.03021115,0.1783993,0.09751713,0.002186042,0.005558996,0.009962525,0.0008589959,0.1318307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09200772,"threshold_uncertainty_score":0.6675658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07811732958159477,"score_gpt":0.3635893323815424,"score_spread":0.2854720027999476,"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."}}