{"id":"W6911930560","doi":"10.5281/zenodo.14597242","title":"Omyomymar Schauff 1983","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Scape; Sulcus; Dorsum; Apex (geometry); Ovipositor; Mandible (arthropod mouthpart)","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":[0.00009012496,0.0005242819,0.0002784897,0.0008555949,0.001044655,0.0004655093,0.0005758379,0.0004514556,0.08552655],"category_scores_gemma":[0.000249672,0.0002266949,0.0001558503,0.0006199305,0.0002583988,0.0008893213,0.001563148,0.0006276655,0.02919764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022051,"about_ca_system_score_gemma":0.0003756965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936085,"about_ca_topic_score_gemma":0.005381695,"domain_scores_codex":[0.9999303,0.000006641804,0.000004857111,0.00002538172,0.00001712899,0.00001565773],"domain_scores_gemma":[0.9999274,0.000008156729,0.00002542877,0.00001045805,0.0000152402,0.00001337629],"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":[0.0001980695,0.00007044666,0.005441626,0.0006394322,0.00002013282,0.001796627,0.0006186251,0.0002623221,0.009532993,0.006074281,0.1484364,0.8269091],"study_design_scores_gemma":[0.00001700261,0.0000639977,0.02638942,0.0002167094,0.00001653211,0.003042853,0.0003535548,0.0002222488,0.000848807,0.001023728,0.9677957,0.000009363405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08619322,0.02551866,0.00503616,0.002323219,0.001550261,0.0004119736,0.005193731,0.0008868834,0.872886],"genre_scores_gemma":[0.4634838,0.02144781,0.009222783,0.001634542,0.001051181,0.0005783534,0.006495147,0.0002500689,0.4958364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08552655,"threshold_uncertainty_score":0.2861148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273425210223073,"score_gpt":0.2321216494793763,"score_spread":0.2093873973771455,"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."}}