{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019303,0.0003232577,0.0004096791,0.001334532,0.0008827144,0.001237747,0.0009753536,0.001303431,0.003826726],"category_scores_gemma":[0.004977492,0.000218328,0.001121205,0.0005390134,0.00522968,0.004400834,0.002651151,0.001522017,0.0003308317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160607,"about_ca_system_score_gemma":0.0004334098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573178,"about_ca_topic_score_gemma":0.001726141,"domain_scores_codex":[0.9992068,0.0002633254,0.00003382338,0.0001923596,0.0001867567,0.0001168641],"domain_scores_gemma":[0.9986377,0.0006949538,0.0001900416,0.000223493,0.0001289597,0.0001248991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001755904,0.00001376688,0.00499773,0.00005751582,0.0000397277,0.0002111036,0.0010435,0.01092559,0.001257165,0.9667814,0.0006848592,0.01397012],"study_design_scores_gemma":[0.000006955047,0.00001173808,0.003047745,0.00001455502,0.000006857321,0.0002209695,0.0001226276,0.01287353,0.00009419323,0.9803033,0.003286344,0.00001125467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2786494,0.005862705,0.5325652,0.01264573,0.0002869265,0.000100761,0.0002155421,0.0003821363,0.1692915],"genre_scores_gemma":[0.9720517,0.0006772918,0.02337131,0.0007104296,0.0002055354,0.00008416353,0.00005941306,0.00003446437,0.002805784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003826726,"threshold_uncertainty_score":0.01280171,"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."}}