{"id":"W6931242359","doi":"10.5281/zenodo.6277593","title":"Geostiba","year":2002,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aedeagus; Spermatheca; Arthropod mouthparts; Appendage; Seta","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002929547,0.00008604328,0.00007948836,0.0001653435,0.001263601,0.001269372,0.001708936,0.00003205678,0.01261669],"category_scores_gemma":[0.0003059439,0.0000899345,0.00003181917,0.0007003153,0.0000636832,0.0005094657,0.001211535,0.0001157717,0.02419124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004462301,"about_ca_system_score_gemma":8.420558e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002577981,"about_ca_topic_score_gemma":4.561998e-8,"domain_scores_codex":[0.9988393,0.0001350934,0.0001618874,0.0003135116,0.000298493,0.0002517263],"domain_scores_gemma":[0.998945,0.00001244053,0.00005750785,0.0005584269,0.0002791166,0.0001475022],"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":[0.000001572361,0.0001195781,0.000001621016,0.00001390135,0.00001372658,0.00001286834,0.000674411,0.00003656019,0.0003754222,0.1387032,0.6491708,0.2108764],"study_design_scores_gemma":[0.0001833654,0.00006237722,0.00006673358,0.000007205618,0.000002646678,0.00005286504,0.00002988511,0.04705159,0.0001162307,0.0002975997,0.9520195,0.0001100454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005823455,0.00009912874,0.6308461,0.00279951,0.0001599614,0.0001959393,0.00008007761,0.002077712,0.3631592],"genre_scores_gemma":[0.9674401,0.0004591533,0.008932537,0.003068509,0.0003840088,2.906937e-8,0.001693918,0.001860924,0.01616083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9668577,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05659568807957787,"score_gpt":0.2611329920433998,"score_spread":0.2045373039638219,"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."}}