{"id":"W6949730522","doi":"10.5281/zenodo.5696398","title":"Neoseiulus ellesmerei Chant & Hansell","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Arthropod mouthparts; Dorsum; Integument; Wing","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":[0.0001105663,0.000430184,0.0001823856,0.001314647,0.0008645382,0.0002829385,0.0005286328,0.0004160574,0.0150845],"category_scores_gemma":[0.0002975868,0.0001556328,0.0001487721,0.0005084337,0.0004466082,0.0008813012,0.0008466347,0.0002387476,0.004650578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004074385,"about_ca_system_score_gemma":0.0002948587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008986304,"about_ca_topic_score_gemma":0.0305484,"domain_scores_codex":[0.9998811,0.000008982295,0.000007936287,0.00003708875,0.00004878727,0.00001601087],"domain_scores_gemma":[0.9999007,0.00001784113,0.00003291716,0.00001034158,0.00002652451,0.0000115978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003207961,0.0001341724,0.03921817,0.0006624305,0.0000668878,0.00375067,0.002700374,0.0006783039,0.03702237,0.008266255,0.04093703,0.8662425],"study_design_scores_gemma":[0.00007625265,0.0002784416,0.4011506,0.0007827926,0.0001092884,0.01308592,0.003028082,0.0009738731,0.01344679,0.004801688,0.5621855,0.00008082802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3910133,0.01013578,0.005674684,0.00067139,0.000565995,0.0005211139,0.002625777,0.0005679741,0.5882239],"genre_scores_gemma":[0.8861694,0.003450365,0.005400945,0.0006314247,0.0001864029,0.0001504347,0.001365726,0.00005339956,0.102592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0150845,"threshold_uncertainty_score":0.05046272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648357014998872,"score_gpt":0.2020346723196955,"score_spread":0.1755511021697068,"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."}}