{"id":"W3181428241","doi":"10.1002/ece3.7912","title":"Mapping the premigration distribution of eastern Monarch butterflies using community science data","year":2021,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Danaus; Overwintering; Monarch butterfly; Distribution (mathematics); Geography; Abundance (ecology); Population; Ecology; Demography; Biology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005809687,0.0001603784,0.0001023766,0.003260515,0.0005040341,0.0004459906,0.0002962366,0.0001482842,0.0014632],"category_scores_gemma":[0.00144141,0.00009149426,0.0001864793,0.002013484,0.0001166327,0.0002733701,0.0004714617,0.0001517415,0.0002309137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008925038,"about_ca_system_score_gemma":0.0009445093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2337482,"about_ca_topic_score_gemma":0.5420411,"domain_scores_codex":[0.9997507,0.00005116033,0.00002025597,0.00007085034,0.00005333803,0.00005362876],"domain_scores_gemma":[0.998903,0.0001298716,0.0003689639,0.00009593611,0.000392028,0.0001102433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003358198,0.00001989306,0.9796304,0.00003832304,0.00004012182,0.00004120581,0.0004303694,0.0003163087,0.001642583,0.000165995,0.0006921532,0.01694911],"study_design_scores_gemma":[0.000001915826,0.00000932611,0.996845,0.00001364449,0.000008239608,0.00001607803,0.0004214077,0.0008147443,0.0002524266,0.00003268243,0.00158166,0.000002820414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906828,0.0001665876,0.001309995,0.00006595959,0.000003638896,0.00002457421,0.005402512,0.00003960398,0.002304174],"genre_scores_gemma":[0.9900213,0.0001117486,0.003061454,0.00001937479,0.000003874888,0.00003833111,0.00581116,0.000006023648,0.0009267058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2337482,"threshold_uncertainty_score":0.4647753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104294950339564,"score_gpt":0.2896820171118403,"score_spread":0.1853870667722763,"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."}}