{"id":"W7027096149","doi":"","title":"Causal quantile treatment effects at high and extreme quantile levels","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Valorisation des Données; Compute Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Quantile; Quantile regression; Term (time); Context (archaeology); Causality (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01595707,0.0004386105,0.001324227,0.0009788171,0.001199423,0.002665269,0.001230245,0.001774195,0.05721956],"category_scores_gemma":[0.08431253,0.0005738482,0.001410016,0.001658956,0.00173278,0.002257703,0.001653487,0.004912519,0.002036902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418515,"about_ca_system_score_gemma":0.001925438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021259,"about_ca_topic_score_gemma":0.003589784,"domain_scores_codex":[0.992014,0.005117934,0.0001557913,0.001057035,0.0007710924,0.0008842658],"domain_scores_gemma":[0.9268857,0.06238339,0.002721019,0.004497403,0.002474097,0.001038432],"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":[0.001858032,0.0007909247,0.03639086,0.0005019651,0.0004775266,0.0002076598,0.001904354,0.0119584,0.0006998559,0.7083188,0.0393264,0.1975652],"study_design_scores_gemma":[0.000613543,0.0003674336,0.0655554,0.0003333462,0.0007915542,0.0001336449,0.001243801,0.02628056,0.001831619,0.8832498,0.01952567,0.0000736014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3108246,0.00658163,0.5017017,0.04200231,0.002552277,0.0008694602,0.007527311,0.001787523,0.1261533],"genre_scores_gemma":[0.9358312,0.001591207,0.03046026,0.001988958,0.0005697851,0.000448437,0.0007551259,0.0001860537,0.02816897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05721956,"threshold_uncertainty_score":0.1914185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.130202500031381,"score_gpt":0.3598972338347665,"score_spread":0.2296947338033856,"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."}}