{"id":"W4293089460","doi":"10.2196/38514","title":"Creating and Implementing a Principal Investigator Tool Kit for Enhancing Accrual to Late Phase Clinical Trials: Development and Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Usability; Accrual; Principal (computer security); Phase (matter); Computer science; Process management; Medicine; Psychology; Engineering; Business; Human–computer interaction; Accounting; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04956685,0.000161428,0.0007430852,0.00008028052,0.0005829159,0.00006521004,0.0001356919,0.00009908329,0.0002910961],"category_scores_gemma":[0.07413076,0.0001413565,0.00009005999,0.0002004717,0.0001201927,0.00006012324,0.001016015,0.001133305,0.000001249569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311223,"about_ca_system_score_gemma":0.002090123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294538,"about_ca_topic_score_gemma":0.001853702,"domain_scores_codex":[0.9953479,0.0008063889,0.001773304,0.0007699357,0.0008097264,0.0004928111],"domain_scores_gemma":[0.9811884,0.01725868,0.0003096506,0.0003481035,0.0002676129,0.0006276122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003359722,0.001541869,0.7407241,0.0007725564,0.0003973883,0.00002537728,0.01766466,0.000007258307,0.004756995,0.0002762876,0.0004188878,0.2300549],"study_design_scores_gemma":[0.09335987,0.02392033,0.5720217,0.001433796,0.000970096,0.00002316515,0.04232054,0.003708394,0.01373586,0.003618841,0.243003,0.001884392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924979,0.0001005415,0.0001499649,0.001946066,0.0001735062,0.004991184,0.00004681618,0.00003567303,0.00005836815],"genre_scores_gemma":[0.9848855,0.00001803673,0.007095513,0.001669378,0.0004325952,0.005171648,0.000007375805,0.00002976339,0.0006902255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425841,"threshold_uncertainty_score":0.978671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.705539455180204,"score_gpt":0.6980330290506669,"score_spread":0.007506426129537114,"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."}}