{"id":"W2793389737","doi":"10.1002/ecy.2188","title":"Using niche breadth theory to explain generalization in mutualisms","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Colorado Boulder; University of Toronto","keywords":"Niche; Generalization; Ecology; Mutualism (biology); Biology; Geography; Mathematics","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":[0.0001722933,0.00005281736,0.0000868626,0.00001006846,0.0001096211,0.000008874494,0.00007876407,0.00004880502,0.0003843481],"category_scores_gemma":[0.00004626689,0.0000202236,0.00001455745,0.0001619474,0.00003657121,0.00002872329,0.00005652662,0.00002635261,0.0000837213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001989422,"about_ca_system_score_gemma":0.000002698324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326988,"about_ca_topic_score_gemma":0.02625184,"domain_scores_codex":[0.999504,0.0000764952,0.00008481537,0.0001308123,0.00003377812,0.0001700554],"domain_scores_gemma":[0.9998406,0.00008324505,0.00002054899,0.000009188292,0.00001963981,0.00002674368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008761787,0.00007035241,0.2100294,0.000001506667,0.00001043637,0.00001355852,0.0008486047,0.00001675228,0.7607926,0.01085794,0.003274943,0.0139963],"study_design_scores_gemma":[0.00007644221,0.0002932462,0.977824,0.00000461235,0.000003104648,0.000007263007,0.0002912755,0.0001387219,0.002736538,0.004048873,0.01446579,0.0001101328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975486,0.00002661987,0.00001928728,0.0005598677,0.000100821,0.00006743313,0.000007100253,0.0000182015,0.001652032],"genre_scores_gemma":[0.9980721,0.000008198202,0.0001660256,0.001148114,0.0003595433,0.000005226596,0.000006185528,3.349412e-7,0.000234209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7677945,"threshold_uncertainty_score":0.9915165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08306694703537047,"score_gpt":0.2641681196769256,"score_spread":0.1811011726415551,"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."}}