{"id":"W4387461511","doi":"10.3390/biomedinformatics3040052","title":"Weighted Trajectory Analysis and Application to Clinical Outcome Assessment","year":2023,"lang":"en","type":"article","venue":"BioMedInformatics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Alberta","funders":"","keywords":"Estimator; Statistics; Sample size determination; Computer science; Medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.009936846,0.00080973,0.0009678666,0.002277566,0.0003793301,0.001184055,0.001022884,0.0008527685,0.003543975],"category_scores_gemma":[0.04411858,0.0003486586,0.001437792,0.001928903,0.0006925681,0.001106355,0.001637789,0.001680654,0.000630762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021606,"about_ca_system_score_gemma":0.001941821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005153175,"about_ca_topic_score_gemma":0.002882579,"domain_scores_codex":[0.9951026,0.003333519,0.0003188974,0.0004791703,0.0006531629,0.0001125751],"domain_scores_gemma":[0.9848969,0.01116903,0.001530993,0.0009223502,0.001234577,0.0002462297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004669134,0.0001470695,0.01918186,0.0005649291,0.0007061049,0.0004301888,0.0005612378,0.4557837,0.003054496,0.1049883,0.00459313,0.4095221],"study_design_scores_gemma":[0.00004372653,0.0001627008,0.002757677,0.0000787465,0.00005838452,0.0001666046,0.00006703669,0.9041463,0.0009372167,0.08662503,0.004916531,0.00004004968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00870511,0.0003487674,0.9892266,0.0002424325,0.00004358255,0.0001546545,0.0003078622,0.0003318628,0.000639028],"genre_scores_gemma":[0.3061968,0.0009756093,0.688125,0.000229294,0.00009198314,0.001227929,0.00103455,0.0002721749,0.001846701],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009936846,"threshold_uncertainty_score":0.05255169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479931251245986,"score_gpt":0.5004252451851979,"score_spread":0.3524321200605993,"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."}}