{"id":"W6977337755","doi":"10.6084/m9.figshare.22599472.v1","title":"Additional file 1 of Estimation of marginal structural models under irregular visits and unmeasured confounder: calibrated inverse probability weights","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimation; Calibration; Inverse; Estimation theory; Maximum likelihood; Bayesian probability","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000203841,0.0000910052,0.0001604961,0.00002775948,0.00008270087,0.00001057552,0.00007739435,0.00004866807,0.9399439],"category_scores_gemma":[0.0003327909,0.00006600042,0.00004164137,0.0002767045,0.00004876327,0.0001476197,0.00002908029,0.00006094625,0.0004416694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002385114,"about_ca_system_score_gemma":0.00003262862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008507422,"about_ca_topic_score_gemma":0.0002147705,"domain_scores_codex":[0.9992716,0.00004134923,0.000153851,0.0001691596,0.0002126184,0.0001514388],"domain_scores_gemma":[0.9989873,0.0007024225,0.00008615853,0.00007284378,0.00008687335,0.00006439799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002442861,0.000007454789,0.0002170309,0.0001149747,0.00002156612,0.000002347028,0.00002471366,0.02629404,9.897765e-7,0.00008699561,0.970176,0.003029482],"study_design_scores_gemma":[0.0001137229,0.00005925111,0.6519052,0.0001969686,0.000004393231,0.000001410901,0.00001858766,0.3003228,0.00001124055,0.04185555,0.005417686,0.00009322912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01567882,0.00001720321,7.77335e-7,0.00007119217,0.00001046236,0.0001285843,0.9829215,0.00003325641,0.001138167],"genre_scores_gemma":[0.3406767,3.700859e-7,0.00029872,0.0000317553,0.00001457206,0.00001215791,0.6587706,0.000001168433,0.0001939305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9647583,"threshold_uncertainty_score":0.5676914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366693304539417,"score_gpt":0.2033289528007335,"score_spread":0.1666596223467918,"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."}}