{"id":"W4412725067","doi":"10.3390/e27070732","title":"Compositional Causal Identification from Imperfect or Disturbing Observations","year":2025,"lang":"en","type":"article","venue":"Entropy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Ministry of Colleges and Universities; Institut Périmètre de physique théorique; Government of Canada; John Templeton Foundation","keywords":"Imperfect; Identification (biology); Computer science; Econometrics; Statistical physics; Artificial intelligence; Mathematics; Biology; Physics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02321614,0.001499183,0.001945236,0.003681652,0.00162055,0.004940397,0.002882986,0.002963726,0.007781693],"category_scores_gemma":[0.0843408,0.001620769,0.00329811,0.002398096,0.008628937,0.0142487,0.008686701,0.004716345,0.0006966083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120469,"about_ca_system_score_gemma":0.003913112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002519496,"about_ca_topic_score_gemma":0.00210785,"domain_scores_codex":[0.9808359,0.009461892,0.001078478,0.004718374,0.003207875,0.000697423],"domain_scores_gemma":[0.9115933,0.06144944,0.00659577,0.01700746,0.002724572,0.0006295],"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":[0.00008343932,0.00004736209,0.001419039,0.0002201621,0.00009384914,0.0001956898,0.000823784,0.02486831,0.0008610903,0.9544423,0.0003933829,0.01655156],"study_design_scores_gemma":[0.00001739699,0.00002559937,0.0004964397,0.00006995606,0.00004236637,0.00006917402,0.0001331401,0.0596208,0.0008559388,0.936706,0.001935667,0.00002758402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0127691,0.0001316304,0.9819181,0.0007421203,0.00003270113,0.0001229373,0.0002561414,0.0002320663,0.00379531],"genre_scores_gemma":[0.5745106,0.0005338814,0.4179873,0.0006865006,0.0001841453,0.0008389439,0.00106121,0.0001940344,0.004003345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02321614,"threshold_uncertainty_score":0.1227801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011076653612051,"score_gpt":0.2531604136176121,"score_spread":0.2330496470814916,"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."}}