{"id":"W4400599257","doi":"10.1186/s12874-024-02273-8","title":"SurvdigitizeR: an algorithm for automated survival curve digitization","year":2024,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; York University; Hospital for Sick Children; Public Health Ontario","funders":"","keywords":"Digitization; Algorithm; Computer science; Censoring (clinical trials); Mean squared error; Artificial intelligence; Statistics; Mathematics; Pattern recognition (psychology); Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01611928,0.002765436,0.002226426,0.008761003,0.0008066465,0.002848038,0.003333635,0.001770821,0.0157881],"category_scores_gemma":[0.04940331,0.001994488,0.003509793,0.004982494,0.0007066533,0.001895378,0.002768554,0.003577771,0.005145456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763527,"about_ca_system_score_gemma":0.004437806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931885,"about_ca_topic_score_gemma":0.007142184,"domain_scores_codex":[0.995656,0.001872925,0.0006899611,0.0008618976,0.000791331,0.0001279091],"domain_scores_gemma":[0.9722271,0.02217442,0.001855491,0.001544705,0.001990452,0.0002078204],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001371769,0.0002067139,0.0174384,0.002237639,0.002218278,0.0003511452,0.0009330346,0.1095939,0.003124583,0.01200024,0.106504,0.7440203],"study_design_scores_gemma":[0.0008028192,0.0002236192,0.00448425,0.0003174756,0.0005351764,0.0005611191,0.0001412684,0.8863416,0.008014188,0.02720354,0.07115019,0.0002247984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004684112,0.000807519,0.9345315,0.0003675815,0.0001346825,0.0004927697,0.00572042,0.05243159,0.000829871],"genre_scores_gemma":[0.03075484,0.0004570876,0.9551573,0.000211182,0.00007795668,0.002174211,0.005892316,0.004201634,0.001073561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9838807,"threshold_uncertainty_score":0.08524787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8083186803653117,"score_gpt":0.6766793295584699,"score_spread":0.1316393508068419,"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."}}