{"id":"W6912514293","doi":"10.5281/zenodo.3816020","title":"Entomobrya additae Jordana & Greenslade 2020, sp. nov.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Pyrethrum; Rainforest; West indies","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003943943,0.0001750949,0.0001770258,0.0001753464,0.001484794,0.0007768036,0.004317054,0.00007609012,0.002662706],"category_scores_gemma":[0.0009651905,0.0001951811,0.0000690191,0.0009368769,0.0001956602,0.0004340554,0.00387477,0.0003939043,0.01632019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335503,"about_ca_system_score_gemma":0.000007283849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006676828,"about_ca_topic_score_gemma":2.105369e-7,"domain_scores_codex":[0.9979172,0.0002112126,0.000266587,0.0006525549,0.000507148,0.0004453497],"domain_scores_gemma":[0.9984391,0.00003078901,0.0001243312,0.0008178205,0.0003418257,0.0002461138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000125279,0.00005347491,0.000002560879,0.00002966917,0.00002417031,0.00006782649,0.001801953,0.0000689649,0.002311544,0.01571625,0.7209125,0.2589985],"study_design_scores_gemma":[0.0002641834,0.0002208859,0.0001895292,0.00001526305,0.000004486117,0.00007923039,0.00006696722,0.007383618,0.0006252819,0.0004909858,0.9904422,0.0002173304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01404695,0.0006268065,0.6659752,0.05948771,0.0007681627,0.001127191,0.0001473393,0.02518216,0.2326385],"genre_scores_gemma":[0.9622803,0.00007897962,0.0323166,0.002084559,0.0005905706,6.210588e-8,0.0003001681,0.001523917,0.0008248849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9482333,"threshold_uncertainty_score":0.9998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869950919605768,"score_gpt":0.2272954155180366,"score_spread":0.1885959063219789,"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."}}