{"id":"W6886056753","doi":"10.14288/1.0396558","title":"Successful incorporation of single reviewer assessments during systematic review screening: development and validation of sensitivity and work-saved of an algorithm that considers exclusion criteria and count","year":2021,"lang":"en","type":"article","venue":"Open Collections","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Systematic review; Clinical Practice; Inclusion and exclusion criteria; A priori and a posteriori; Information loss","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7707301,0.006503034,0.01292738,0.02937097,0.006412744,0.01330039,0.01027502,0.008764809,0.00329809],"category_scores_gemma":[0.9120958,0.007307813,0.01827374,0.0195479,0.008478141,0.01409674,0.01211744,0.005329963,0.001804953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00802226,"about_ca_system_score_gemma":0.02840248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003803247,"about_ca_topic_score_gemma":0.00868395,"domain_scores_codex":[0.1370352,0.5016096,0.2679735,0.02970807,0.06118789,0.002485792],"domain_scores_gemma":[0.04505307,0.750244,0.06986259,0.0467857,0.08638792,0.001666832],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01669231,0.001589478,0.2060324,0.1175217,0.0507191,0.00124495,0.03552019,0.01874785,0.01078784,0.01533355,0.02696978,0.4988409],"study_design_scores_gemma":[0.02220584,0.01116034,0.1623253,0.07127246,0.08434594,0.004290869,0.007086612,0.4014817,0.06547634,0.07698629,0.08675288,0.006615552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1039323,0.01152903,0.7175202,0.004508469,0.002640417,0.1419397,0.003551257,0.007374826,0.007003799],"genre_scores_gemma":[0.161196,0.0006483165,0.7704095,0.0007810753,0.0001745807,0.06509101,0.000902833,0.0004370855,0.0003596402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2292699,"threshold_uncertainty_score":0.2827306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.468476429486704,"score_gpt":0.4658999119929356,"score_spread":0.00257651749376836,"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."}}