{"id":"W2766791139","doi":"10.1101/212894","title":"The hummingbird and the hawk-moth: Species distribution, geographical partitioning, and macrocompetition across the United States","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Species richness; Hummingbird; Ecology; Competition (biology); Geography; Taxon; Niche; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003518075,0.0001143807,0.000161219,0.0009257871,0.000310522,0.0003293209,0.0001986826,0.0001493724,0.0007748802],"category_scores_gemma":[0.0005689709,0.00009041496,0.0001625804,0.0007991585,0.00028214,0.0002333616,0.0003949898,0.0001657789,0.00006467936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002625711,"about_ca_system_score_gemma":0.0001588777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02612482,"about_ca_topic_score_gemma":0.06664741,"domain_scores_codex":[0.9998448,0.00005391787,0.00001141738,0.00003812641,0.00002996554,0.00002179628],"domain_scores_gemma":[0.9992466,0.0001525274,0.0002795846,0.00004932242,0.0001206678,0.0001513058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004276455,0.00001291749,0.9955337,0.000009063912,0.00006882384,0.00003011518,0.000214455,0.00006913677,0.0008615686,0.00003403971,0.0001016998,0.003021675],"study_design_scores_gemma":[5.309157e-7,0.000006479614,0.9996179,0.000002417672,0.000004658602,0.00001816991,0.0001817465,0.00006434652,0.00002904624,0.000005767382,0.00006820897,7.943771e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993162,0.000220098,0.00004636379,0.00002316204,0.00000159533,0.000001415342,0.0001307357,0.000001625075,0.0002587457],"genre_scores_gemma":[0.9996266,0.00009257615,0.00006594128,0.00001551655,0.000002969318,0.000001981521,0.0001508565,6.046826e-7,0.0000429321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02612482,"threshold_uncertainty_score":0.05194551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130072096131158,"score_gpt":0.2110370407041072,"score_spread":0.1897363197427956,"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."}}