{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03006415,0.001184022,0.002343968,0.006751968,0.000840571,0.002297098,0.003819237,0.002259583,0.01017788],"category_scores_gemma":[0.2188721,0.0009634431,0.002024535,0.007129693,0.003729895,0.004339618,0.00190417,0.003839572,0.001252498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001989699,"about_ca_system_score_gemma":0.00307969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005499366,"about_ca_topic_score_gemma":0.005198142,"domain_scores_codex":[0.9773358,0.01630232,0.0009868678,0.002119686,0.002666441,0.0005889312],"domain_scores_gemma":[0.6476175,0.3253612,0.007278675,0.01066698,0.007975762,0.0010999],"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":[0.0001939066,0.0000920103,0.02090683,0.0005879874,0.0008027524,0.0005495444,0.0004649403,0.3404296,0.0004599791,0.5556873,0.007145945,0.07267932],"study_design_scores_gemma":[0.00003501045,0.00005015752,0.002862689,0.0001418942,0.00007980559,0.0001645885,0.00009519741,0.436471,0.0001539372,0.5584272,0.001467207,0.00005144216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02674436,0.0006550063,0.9677935,0.0006184108,0.00008074925,0.0001308947,0.001304115,0.0005231527,0.002149793],"genre_scores_gemma":[0.5443875,0.001422825,0.4449244,0.0004666012,0.0002853129,0.001622657,0.004221945,0.000597695,0.002071089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03006415,"threshold_uncertainty_score":0.1589963,"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."}}