{"id":"W6968226081","doi":"10.5281/zenodo.14861680","title":"Optimizing functional trait selection: a quantitative framework for enhancing environment-based predictions of ecological community assembly","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Trait; Community; Code (set theory); Interpretability; Quantitative analysis (chemistry)","routes":{"ca_aff":true,"ca_fund":false,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009502507,0.0001090874,0.0001686824,0.0002032036,0.002367619,0.0001135152,0.0002444389,0.0001022205,0.002605249],"category_scores_gemma":[0.002453148,0.0001170981,0.000081782,0.0003799896,0.0001003342,0.0001283028,0.0001548556,0.0003199801,0.00005894906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001912622,"about_ca_system_score_gemma":0.000009835813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007892847,"about_ca_topic_score_gemma":0.000002595014,"domain_scores_codex":[0.9986156,0.0004355483,0.0003659066,0.0001910454,0.0002071823,0.0001846934],"domain_scores_gemma":[0.9984968,0.0006542458,0.0001874554,0.0002158044,0.0003909121,0.00005479075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004423517,0.001527105,0.00004938081,0.0005890704,0.0002183641,6.016338e-7,0.002399453,0.02791139,0.008938485,0.9113199,0.03628571,0.01031823],"study_design_scores_gemma":[0.00464072,0.002981748,0.02530608,0.0007719783,0.0004590036,0.00003843441,0.004337624,0.3363245,0.009387409,0.207629,0.4072295,0.0008941024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02687052,0.00001182571,0.9670639,0.0005463793,0.0000788916,0.0005319869,0.0001824035,0.0002977122,0.004416404],"genre_scores_gemma":[0.8776365,0.000004429844,0.1209406,0.00007030293,0.00004335381,6.552075e-7,0.0008865936,0.0002312178,0.0001863582],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.850766,"threshold_uncertainty_score":0.9989312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121291710059096,"score_gpt":0.3289336777938867,"score_spread":0.2168045067879771,"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."}}