{"id":"W4415025468","doi":"","title":"Resolving key challenges in selecting and interpreting spatial predictors for ecological and evolutionary analyses.","year":2025,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Rimouski","funders":"","keywords":"Key (lock); Selection (genetic algorithm); Ectotherm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05394024,0.001972029,0.002593195,0.004134559,0.003645752,0.01246551,0.004567421,0.004069873,0.007522886],"category_scores_gemma":[0.2188621,0.0007683215,0.001769008,0.006741288,0.003718056,0.007001766,0.005818291,0.007079086,0.003027156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200791,"about_ca_system_score_gemma":0.005349585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01247308,"about_ca_topic_score_gemma":0.02916686,"domain_scores_codex":[0.9795731,0.01471539,0.0009931055,0.002588496,0.001468229,0.0006616744],"domain_scores_gemma":[0.8163742,0.1524911,0.005957906,0.01011485,0.0125171,0.002544871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004459192,0.0003683949,0.2937638,0.005205737,0.003235172,0.002090582,0.004941354,0.04632409,0.01505149,0.0638632,0.06907398,0.4956363],"study_design_scores_gemma":[0.00009372262,0.0003253436,0.1370162,0.003115693,0.001036278,0.001705474,0.01639396,0.1349673,0.005332028,0.5989875,0.1006435,0.0003830356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1086757,0.02289098,0.8023385,0.04212406,0.002548427,0.0005613763,0.00473022,0.00178714,0.01434365],"genre_scores_gemma":[0.603567,0.01073481,0.368306,0.004539754,0.002353072,0.0009082851,0.004953668,0.001183514,0.003453949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05394024,"threshold_uncertainty_score":0.2852666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012819164010189,"score_gpt":0.2488078656863873,"score_spread":0.2286796740462854,"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."}}