{"id":"W2995208797","doi":"10.1002/ecy.2960","title":"Generalized AIC and chi‐squared statistics for path models consistent with directed acyclic graphs","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Statistics; Mathematics; Path (computing); Ecology; Econometrics; Directed acyclic graph; Combinatorics; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208319,0.0001648126,0.0004577464,0.00005797644,0.00007141676,0.00002407023,0.00008327392,0.0001028432,0.0002034821],"category_scores_gemma":[0.000446887,0.0001252657,0.00003203746,0.00007789951,0.0001170528,0.00003684988,0.00003429969,0.00009529135,0.000007787537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000217155,"about_ca_system_score_gemma":0.00005777261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440689,"about_ca_topic_score_gemma":0.00008991286,"domain_scores_codex":[0.9988675,0.000155077,0.0002758927,0.0003010393,0.00009171772,0.0003087397],"domain_scores_gemma":[0.9972597,0.002171226,0.0001306087,0.0002231626,0.0001199676,0.00009536128],"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":[0.0001320326,0.00008120503,0.002714812,0.0001473149,0.00007429971,0.000007718741,0.0001509958,0.000003223222,0.0001755206,0.9922696,0.001480873,0.002762445],"study_design_scores_gemma":[0.001763011,0.0006028651,0.007328109,0.00002098506,0.000094585,0.00001807522,0.00003422953,0.03120958,0.0000578183,0.958501,0.0001713892,0.0001983242],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2199819,0.0000291665,0.7778788,0.0001026218,0.0001764486,0.0008095441,0.0003343397,0.00007918187,0.000608081],"genre_scores_gemma":[0.165554,0.00002039805,0.8338289,0.0001778745,0.00001597806,0.0001168379,0.00002509199,0.00002519142,0.0002356717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05595018,"threshold_uncertainty_score":0.5108188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413909132856765,"score_gpt":0.323906192495782,"score_spread":0.2797671011672144,"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."}}