{"id":"W4411674818","doi":"10.1111/ele.70161","title":"Deciphering Probabilistic Species Interaction Networks","year":2025,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Probabilistic logic; Computer science; Statistical model; Machine learning; Artificial intelligence; Ecology; Data science; Biology","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":[0.0000863461,0.0002366174,0.0007244964,0.00001599563,0.0001932518,0.00004115855,0.0002351771,0.000176746,0.0002523389],"category_scores_gemma":[0.00006970845,0.00008351043,0.0002620303,0.0002089595,0.0000613267,0.00003599651,0.0001462207,0.0002789156,0.00006259752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009367884,"about_ca_system_score_gemma":0.000006665627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001388268,"about_ca_topic_score_gemma":0.002296163,"domain_scores_codex":[0.9989914,0.00009858844,0.0002631546,0.0003097792,0.00005154216,0.0002855415],"domain_scores_gemma":[0.9988273,0.0009704651,0.000140292,0.00002104941,0.00001196269,0.0000289048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006066353,0.00003496803,0.0004213563,0.001010877,0.0001691415,0.00003798924,0.000005998595,0.00001116163,0.00003313429,0.00007780815,0.01822264,0.9799688],"study_design_scores_gemma":[0.00001618443,0.0000366726,0.004963978,0.001385079,0.0001667822,0.0000121438,0.000009066787,0.000005145442,8.422525e-8,0.00000648672,0.9932168,0.0001815429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001340985,0.9950311,0.000002627778,0.0005983076,0.0007239521,0.0003987101,0.00002617204,0.00008703898,0.001791173],"genre_scores_gemma":[0.0002153154,0.9978997,0.000009220934,0.0004077343,0.0006634562,0.00006880321,0.00008704327,8.71742e-7,0.000647853],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9797873,"threshold_uncertainty_score":0.3405457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688836182392953,"score_gpt":0.2566386725710383,"score_spread":0.1897503107471087,"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."}}