{"id":"W6968718838","doi":"10.5281/zenodo.3867381","title":"Elbaiulus carpinorum Verhoeff 1930","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Woodland; Habitat; Distribution (mathematics); Natural (archaeology)","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":[0.00007108119,0.0006155085,0.0001816701,0.001693092,0.0009704747,0.0004031029,0.0005205848,0.0004335645,0.03876293],"category_scores_gemma":[0.0003090229,0.0001948141,0.0001080745,0.0007876596,0.0004501422,0.0007350006,0.0007294487,0.0003011531,0.009954142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007683606,"about_ca_system_score_gemma":0.000261723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038517,"about_ca_topic_score_gemma":0.03093664,"domain_scores_codex":[0.999879,0.00000763659,0.000009393023,0.0000397867,0.00003511411,0.00002903155],"domain_scores_gemma":[0.9998804,0.0000197047,0.00003978804,0.000008429746,0.00003279483,0.000018869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003224116,0.00009298885,0.01865708,0.0004813818,0.00002940851,0.001094758,0.0005071376,0.0004712459,0.01872941,0.002553655,0.02440975,0.9326507],"study_design_scores_gemma":[0.00009443925,0.0002394027,0.4462766,0.001074844,0.00007146264,0.00419783,0.001226485,0.0006323519,0.004847086,0.002280527,0.5390047,0.00005418077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.11204,0.00946359,0.001837681,0.0002858302,0.0002481998,0.0002015926,0.00218116,0.000409613,0.8733323],"genre_scores_gemma":[0.8026882,0.004883933,0.002993197,0.0004299035,0.0001499074,0.0002244373,0.002938414,0.00006573898,0.1856262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03876293,"threshold_uncertainty_score":0.1296749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04294242587493596,"score_gpt":0.2304213892979334,"score_spread":0.1874789634229974,"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."}}