{"id":"W2110584638","doi":"10.1038/sj.hdy.6800949","title":"Dos and don'ts of testing the geographic mosaic theory of coevolution","year":2007,"lang":"en","type":"review","venue":"Heredity","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coevolution; Mosaic; Biology; Trait; Evolutionary biology; Interspecific competition; Focus (optics); Selection (genetic algorithm); Ecology; Computer science; Artificial intelligence; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005852737,0.001087863,0.002257887,0.001901047,0.0006648844,0.002223151,0.0021317,0.003763708,0.002800124],"category_scores_gemma":[0.01030821,0.000405164,0.0005288178,0.002375985,0.006752028,0.007883469,0.001981626,0.005597962,0.0009980391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389836,"about_ca_system_score_gemma":0.001886825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258672,"about_ca_topic_score_gemma":0.002944617,"domain_scores_codex":[0.9989265,0.0004309834,0.00007395478,0.0001601711,0.000365566,0.00004279448],"domain_scores_gemma":[0.9897377,0.008969807,0.0001758153,0.0002639215,0.0006617606,0.0001909309],"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":[0.0001014198,0.00007043711,0.0009772781,0.004036416,0.0001690117,0.0003450309,0.0002377586,0.001516458,0.000496156,0.2009145,0.05550352,0.7356321],"study_design_scores_gemma":[0.00004556169,0.00005745986,0.001022464,0.003364725,0.00009223677,0.001163444,0.0004902357,0.0007351937,0.0004597696,0.3104996,0.6820093,0.00005993839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002998771,0.9830526,0.001973802,0.01043027,0.001138441,0.000004719317,0.00001528423,0.000009214966,0.003075843],"genre_scores_gemma":[0.005596889,0.9817342,0.002289023,0.006485058,0.001791737,0.00002327932,0.00003018964,0.00000951977,0.002040202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005852737,"threshold_uncertainty_score":0.03095263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096098718720952,"score_gpt":0.3140331477547137,"score_spread":0.2630721605675042,"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."}}