{"id":"W6931486970","doi":"10.5281/zenodo.6128316","title":"Bothynotus pilosus Boheman 1852","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Taxonomy (biology); Locality; Term (time)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007587114,0.0001427773,0.0001390477,0.0001806209,0.001968978,0.001485002,0.002281312,0.00004721248,0.001667414],"category_scores_gemma":[0.0003734846,0.0001462018,0.00005405218,0.0005589009,0.00007912169,0.0004063721,0.002189403,0.0002153924,0.007055408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007523988,"about_ca_system_score_gemma":0.000002800911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893029,"about_ca_topic_score_gemma":1.971612e-7,"domain_scores_codex":[0.9981872,0.0002489385,0.0002260984,0.0005098163,0.0003693464,0.000458595],"domain_scores_gemma":[0.9985552,0.0000384169,0.00008767077,0.0008348672,0.0002760436,0.0002077554],"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":[0.00001540374,0.00016266,0.00001208291,0.00004305611,0.0000359654,0.00001846073,0.001936124,0.0004103252,0.003935283,0.1641227,0.2275591,0.6017488],"study_design_scores_gemma":[0.0003466257,0.0001919029,0.0006887198,0.00002007448,0.000004081527,0.00009434281,0.00003283198,0.02710413,0.0006316369,0.001293287,0.9693931,0.0001992643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01368862,0.00006607342,0.6278856,0.00191283,0.0003583729,0.0002610248,0.0000115848,0.002771996,0.3530439],"genre_scores_gemma":[0.9915209,0.00001411801,0.006284185,0.0004528961,0.0003040395,2.040817e-8,0.00009821606,0.0006816769,0.0006439062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9778323,"threshold_uncertainty_score":0.9995515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940493893531529,"score_gpt":0.2291297434213958,"score_spread":0.1997248044860805,"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."}}