{"id":"W3107519578","doi":"10.1002/onco.13570","title":"Approach to Cancer-Associated Thrombosis: Challenging Situations and Knowledge Gaps","year":2020,"lang":"en","type":"article","venue":"The Oncologist","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Cancer Institute; Pfizer; Bristol-Myers Squibb","keywords":"Medicine; Intensive care medicine; Cancer; Venous thromboembolism; Malignancy; Thrombosis; Population; MEDLINE; Best practice; Surgery; Internal medicine; Environmental health","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":[0.0002530199,0.0001207271,0.0003477623,0.00003262217,0.000232514,0.00002702979,0.0001256805,0.00005465646,0.00004698151],"category_scores_gemma":[0.000168319,0.00008217448,0.00004785289,0.0002668863,0.00008239465,0.00002917864,0.0001633582,0.0001448461,0.00005977546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358613,"about_ca_system_score_gemma":0.00007270576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002479189,"about_ca_topic_score_gemma":0.0001711919,"domain_scores_codex":[0.9991916,0.0000586769,0.0001574673,0.00024326,0.0001218682,0.0002270769],"domain_scores_gemma":[0.9994901,0.00007480453,0.00005441693,0.0001649467,0.0000541667,0.0001615803],"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":[0.0001905137,0.009522477,0.009916038,0.001140418,0.002756411,0.00002845557,0.122962,0.002829615,0.006371527,0.06274842,0.7134159,0.06811821],"study_design_scores_gemma":[0.004607061,0.002849063,0.7414894,0.0004612608,0.002361075,0.000008210613,0.01876004,0.01226528,0.0006022507,0.0006995469,0.2150646,0.000832217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5432292,0.005002711,0.001052972,0.2121214,0.0003229776,0.002619605,0.00002665611,0.0004279125,0.2351966],"genre_scores_gemma":[0.9915211,0.001496541,0.0002681336,0.005947741,0.000228178,0.0002532584,0.00001073401,0.0000174326,0.0002568735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7315733,"threshold_uncertainty_score":0.3350978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017201912939881,"score_gpt":0.3520737013642282,"score_spread":0.2503535100702401,"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."}}