{"id":"W2771822258","doi":"10.1111/fwb.13054","title":"Dispersal barriers and climate determine the geographic distribution of the helicopter damselfly <i>Mecistogaster modesta</i>","year":2017,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Damselfly; Biological dispersal; Odonata; Ecology; Range (aeronautics); Habitat; Competition (biology); Geography; Predation; Biology; Population","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002101056,0.0001303523,0.0001321203,0.000007888457,0.000659404,0.00005648997,0.0005453394,0.0000870515,0.003735424],"category_scores_gemma":[0.00004820244,0.00006539431,0.0000792274,0.00003731711,0.001703675,0.0001014902,0.0007058323,0.00009971572,0.00006833798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004855405,"about_ca_system_score_gemma":0.000003172086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005468643,"about_ca_topic_score_gemma":0.004736568,"domain_scores_codex":[0.9990978,0.00007377796,0.0001708884,0.0002410371,0.0001009988,0.0003154909],"domain_scores_gemma":[0.9991308,0.00002290597,0.0001414075,0.0006217447,0.00001074998,0.00007237941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003661268,0.0000168138,0.9833136,0.000005930357,0.00001108997,0.000001116214,0.000151682,0.000001995219,0.01246977,0.001235883,0.001822536,0.0009329792],"study_design_scores_gemma":[0.00051027,0.00008317682,0.8841556,0.000009664577,0.00003293923,0.00001964138,0.0002243259,0.0005076851,0.004998783,0.0003234913,0.1089691,0.0001653186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945,0.00003978635,0.00005297416,0.002080862,0.0002672996,0.0001551978,0.001104336,0.00001213964,0.001787428],"genre_scores_gemma":[0.9992796,0.00009539202,0.0000085314,0.0003945045,0.0000271258,0.00001864905,0.00009165805,0.000006385756,0.00007816564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071466,"threshold_uncertainty_score":0.9971753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448853894117471,"score_gpt":0.2343076652078446,"score_spread":0.2198191262666699,"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."}}