{"id":"W7103389697","doi":"","title":"Identifiable Causal Inference with Noisy Treatment and No Side Information","year":2024,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Horizon 2020 Framework Programme; Finnish Center for Artificial Intelligence","keywords":"Inference; Pattern recognition (psychology); Identification (biology); Noise (video); Complete information; Noisy data; Causality (physics); Interpretation (philosophy)","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":[0.04644388,0.002382734,0.005322916,0.00248787,0.001662695,0.004257406,0.004059324,0.007556255,0.02674218],"category_scores_gemma":[0.1938378,0.003128955,0.00388687,0.002388983,0.005133867,0.00650553,0.004516175,0.01010949,0.003062437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484326,"about_ca_system_score_gemma":0.00547154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003701613,"about_ca_topic_score_gemma":0.003330582,"domain_scores_codex":[0.9459662,0.04260241,0.001504313,0.005413355,0.003148426,0.001365206],"domain_scores_gemma":[0.7316097,0.234242,0.009014636,0.02138853,0.002685383,0.001059878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001587757,0.0003168118,0.002290261,0.0009462312,0.0009848566,0.0008397099,0.0004293062,0.04453308,0.0002689083,0.8726979,0.01802298,0.05708217],"study_design_scores_gemma":[0.0003567498,0.00005242353,0.0003581065,0.00009533482,0.0001898242,0.0001342836,0.00002767636,0.05640797,0.0002340967,0.9394439,0.002676983,0.0000227257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008552829,0.001445255,0.9599922,0.01355608,0.0008332577,0.0004610709,0.003484519,0.0005819096,0.01109283],"genre_scores_gemma":[0.6320547,0.002331407,0.3104846,0.005169278,0.002806368,0.002186296,0.003250703,0.000462572,0.04125413],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04644388,"threshold_uncertainty_score":0.2456216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382096482297451,"score_gpt":0.3206724535711644,"score_spread":0.2668514887481899,"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."}}