{"id":"W6892186349","doi":"10.5061/dryad.23s51","title":"Data from: Hybridization in headwater regions, and the role of rivers as drivers of speciation in Amazonian birds","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Amazonian; Gene flow; Reproductive isolation; Subspecies; Biological dispersal; Amazon rainforest; Taxon; Genetic algorithm; Sympatry","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":[0.001401127,0.001048944,0.0009841701,0.002871472,0.0008816175,0.001712646,0.002092651,0.001171264,0.01833737],"category_scores_gemma":[0.006721506,0.0006525959,0.0008734834,0.003944888,0.0005142784,0.001093491,0.002217829,0.001412057,0.01126351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194667,"about_ca_system_score_gemma":0.001841492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04167147,"about_ca_topic_score_gemma":0.08343086,"domain_scores_codex":[0.9990344,0.0001619134,0.0001721598,0.0002741386,0.0002048328,0.0001525139],"domain_scores_gemma":[0.9974636,0.0007237904,0.000529497,0.0005201984,0.0004702828,0.0002926216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003665991,0.00008994967,0.04257614,0.004358129,0.0004006283,0.0002602184,0.0007828721,0.001721371,0.002698299,0.0024736,0.9329447,0.01132755],"study_design_scores_gemma":[0.0004121264,0.00002773031,0.1021897,0.0006248265,0.0001200507,0.0002008392,0.00043628,0.001096379,0.00134004,0.001962458,0.8915121,0.00007764893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001577689,0.00009264338,0.0001697404,0.00007712128,0.00001960352,0.00001130803,0.9973007,0.000273773,0.0004774008],"genre_scores_gemma":[0.003273416,0.00006310733,0.0009273602,0.0000443723,0.000007294837,0.00007114686,0.9951279,0.00009884896,0.0003866237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04167147,"threshold_uncertainty_score":0.08285785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299517535997259,"score_gpt":0.264480302801047,"score_spread":0.2414851274410744,"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."}}