{"id":"W6929948721","doi":"10.5281/zenodo.10987663","title":"The role of growing degree-days in explaining moth species distributions at broad scales","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Growing degree-day; Leverage (statistics); Range (aeronautics); Species distribution; Scale (ratio); Climate change","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":[0.0009463947,0.0006026151,0.000284019,0.0007346989,0.0002254462,0.0008125989,0.0005069473,0.0003166451,0.001032813],"category_scores_gemma":[0.003053437,0.000200397,0.0004799551,0.000390438,0.0004290021,0.001252061,0.0006015394,0.0004177122,0.0002753896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000548336,"about_ca_system_score_gemma":0.000321783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148413,"about_ca_topic_score_gemma":0.01432161,"domain_scores_codex":[0.9998541,0.00004924052,0.000007969139,0.00005727748,0.00001395507,0.00001745664],"domain_scores_gemma":[0.9989389,0.0006741884,0.000159854,0.00009079961,0.00005582863,0.00008044047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003351312,0.0001018845,0.3791643,0.0002967563,0.0003628657,0.000160301,0.0002387137,0.519715,0.02542333,0.005450605,0.001134556,0.06761646],"study_design_scores_gemma":[0.00001691385,0.00006307133,0.2135719,0.00002445075,0.00004201841,0.0001143037,0.0001195323,0.7672747,0.002483224,0.01525631,0.0009847399,0.00004885101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395344,0.001395157,0.05481902,0.000213384,0.00001995255,0.00001737307,0.0005604627,0.0003131246,0.003127036],"genre_scores_gemma":[0.9939644,0.0001924765,0.005267983,0.0000225675,0.000007246967,0.000008217929,0.0002149013,0.00003921302,0.000283117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01148413,"threshold_uncertainty_score":0.02283454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0723477243468948,"score_gpt":0.2893810393004638,"score_spread":0.217033314953569,"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."}}