{"id":"W4246433443","doi":"10.32942/osf.io/u7q5c","title":"Disentangling food-web environment relationships: a review with guidelines","year":2021,"lang":"en","type":"review","venue":"","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; European Commission","keywords":"Food web; Underpinning; Ecosystem; Field (mathematics); Ecology; Set (abstract data type); Replication (statistics); Environmental resource management; Computer science; Environmental science; Biology; Engineering; Mathematics","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":[0.002022082,0.001757857,0.002940923,0.012614,0.0006147115,0.002080327,0.002072031,0.001515519,0.007890091],"category_scores_gemma":[0.005169334,0.0007221365,0.002818512,0.01161152,0.0005793693,0.002974808,0.001419842,0.001606399,0.002417478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691844,"about_ca_system_score_gemma":0.005933727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00543797,"about_ca_topic_score_gemma":0.009557075,"domain_scores_codex":[0.9991873,0.0001330588,0.0002740535,0.0001374191,0.0002209649,0.00004725212],"domain_scores_gemma":[0.9967878,0.001839304,0.0006253048,0.00007935511,0.0005726672,0.00009573952],"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":[0.0001053595,0.00008438066,0.0004382263,0.360479,0.0006677579,0.0003290181,0.0002448669,0.0005344412,0.0008988595,0.005163673,0.05768567,0.5733688],"study_design_scores_gemma":[0.00003155023,0.00009532315,0.002241761,0.2105409,0.00201889,0.001011982,0.0001529709,0.0001337466,0.0002210183,0.003898539,0.779599,0.00005442487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006029786,0.9986755,0.0001605712,0.0003097538,0.0001525929,0.00004267049,0.0001372218,0.00001055313,0.000450949],"genre_scores_gemma":[0.0003836706,0.998233,0.0005231134,0.0003017802,0.00008537604,0.00006141886,0.0001356076,0.00000233265,0.0002737009],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.012614,"threshold_uncertainty_score":0.02639502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3598518340991176,"score_gpt":0.3126759535024995,"score_spread":0.04717588059661815,"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."}}