{"id":"W3034627609","doi":"10.1158/1557-3265.advprecmed20-26","title":"Abstract 26: A novel electronic platform to improve clinical trial workflow and screening","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Clinical trial; Workflow; Computer science; Web application; Medicine; Password; Workload; Android (operating system); World Wide Web; Phone; Medical physics; Database; Pathology; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01317491,0.001363666,0.0009064949,0.001801086,0.0005126921,0.002927453,0.002471292,0.0011795,0.02931793],"category_scores_gemma":[0.02872431,0.001000863,0.001141317,0.001098928,0.0005285663,0.002996837,0.00425999,0.001287989,0.0173847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175867,"about_ca_system_score_gemma":0.002897934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005264005,"about_ca_topic_score_gemma":0.0006517162,"domain_scores_codex":[0.9930233,0.002920246,0.001073809,0.001087171,0.001458985,0.0004365343],"domain_scores_gemma":[0.9724209,0.01318562,0.002543608,0.005526764,0.003443284,0.002879833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006804518,0.001168944,0.009822035,0.001688123,0.0002562705,0.00108113,0.0008990898,0.003894294,0.01867399,0.006033631,0.1923788,0.7572992],"study_design_scores_gemma":[0.006973636,0.007292848,0.03314372,0.00138373,0.001020522,0.002945078,0.0004220008,0.1071898,0.04793993,0.025051,0.7655858,0.001051951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05307729,0.00194317,0.6480373,0.005386592,0.003126446,0.01202395,0.01238927,0.230974,0.03304193],"genre_scores_gemma":[0.1972518,0.001595446,0.7334216,0.00559612,0.001536142,0.009036427,0.01154433,0.01015507,0.02986306],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02931793,"threshold_uncertainty_score":0.09807819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7814822954328613,"score_gpt":0.6425963769664341,"score_spread":0.1388859184664272,"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."}}