{"id":"W4313892100","doi":"10.1002/cjs.11751","title":"Inducement of population sparsity","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Orthogonalization; Context (archaeology); Parameterized complexity; Inference; Transformation (genetics); Population; Nuisance parameter; Covariance; Path (computing); Computer science; Mathematics; Applied mathematics; Calculus (dental); Mathematical optimization; Algorithm; Artificial intelligence; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007325001,0.0005640386,0.001386235,0.001341792,0.0009406011,0.002070849,0.001408977,0.001150298,0.007657402],"category_scores_gemma":[0.0463071,0.0006639545,0.001195942,0.001163862,0.004311762,0.00297054,0.005862394,0.00477321,0.0006809702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392286,"about_ca_system_score_gemma":0.001011444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006234468,"about_ca_topic_score_gemma":0.0005662574,"domain_scores_codex":[0.9891633,0.005925568,0.0003924141,0.002258579,0.001689372,0.0005707673],"domain_scores_gemma":[0.9597152,0.02392921,0.003656592,0.008699168,0.002644424,0.001355413],"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":[0.00005960513,0.0000385003,0.001459137,0.00005306605,0.0000443328,0.00008731891,0.0001734789,0.01347533,0.001798411,0.9679031,0.001485776,0.01342184],"study_design_scores_gemma":[0.00002575592,0.00006673693,0.001333894,0.00002345564,0.00001298765,0.0001079928,0.00005052941,0.09838898,0.001164444,0.8956464,0.003157184,0.00002161911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05857178,0.0001915264,0.9208314,0.001606153,0.0001195122,0.0001031959,0.0007355537,0.0003111088,0.01752972],"genre_scores_gemma":[0.8833142,0.0004770308,0.106679,0.0009645563,0.0005320632,0.0006387207,0.001276337,0.0003070157,0.005810983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007657402,"threshold_uncertainty_score":0.03873879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2492769367463306,"score_gpt":0.3945791197856565,"score_spread":0.1453021830393259,"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."}}