{"id":"W4239359595","doi":"10.1079/dmpp/20056600371","title":"<i>Amphimallon majalis</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Biology; Botany; Ecology; Forestry","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":[0.0001194166,0.0009469557,0.0004219104,0.002544606,0.0003054491,0.0005340638,0.0008348707,0.000281565,0.2291479],"category_scores_gemma":[0.0003682481,0.000231747,0.0001983362,0.004161987,0.0002227451,0.0006373479,0.0005341555,0.0004143718,0.09562583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459016,"about_ca_system_score_gemma":0.0004488659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799021,"about_ca_topic_score_gemma":0.02257465,"domain_scores_codex":[0.9999251,0.000008046642,0.000006609172,0.00001861164,0.00002478446,0.00001682524],"domain_scores_gemma":[0.9997687,0.00003509872,0.00006098095,0.000009700753,0.00008952735,0.00003605938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000096773,0.00001815722,0.001779935,0.001030811,0.00001333438,0.0001252459,0.000091373,0.0002341512,0.0008899911,0.0006094448,0.9422408,0.05287],"study_design_scores_gemma":[0.00007188747,0.00002464603,0.01999826,0.000169151,0.000008620966,0.0002126201,0.00008071357,0.0002271033,0.0001850929,0.0003006582,0.9787081,0.00001314824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004251282,0.002394917,0.001347707,0.001157374,0.0005461842,0.0004761884,0.8049276,0.002113181,0.1827856],"genre_scores_gemma":[0.02637263,0.003120048,0.004910538,0.0007696192,0.0002499606,0.0007965953,0.8722901,0.0003780466,0.09111258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2291479,"threshold_uncertainty_score":0.7665759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354559746291172,"score_gpt":0.1944195736543123,"score_spread":0.1808739761914006,"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."}}