{"id":"W6894122034","doi":"10.5281/zenodo.6183819","title":"Telopelopia okoboji Walley","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Apex (geometry); Mandible (arthropod mouthpart); Basal (medicine); French horn; Tuft","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":[0.00003684076,0.0002893487,0.000155693,0.0006526535,0.0007729027,0.0002928704,0.000147322,0.0002228583,0.008931439],"category_scores_gemma":[0.00004626114,0.0001363095,0.000126516,0.0004716655,0.0001967636,0.000348916,0.0004709442,0.0003019566,0.001888797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470458,"about_ca_system_score_gemma":0.0002175801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068939,"about_ca_topic_score_gemma":0.02780496,"domain_scores_codex":[0.9999677,0.000001272788,0.000002798298,0.00001236369,0.000006428759,0.000009494279],"domain_scores_gemma":[0.999975,0.000003064472,0.000008043085,0.000001619252,0.000004042381,0.000008339351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001803424,0.0003703813,0.102808,0.001002067,0.0001098226,0.007931421,0.003865823,0.0007193657,0.5430763,0.003938577,0.007482107,0.3268928],"study_design_scores_gemma":[0.0000765428,0.0002825236,0.882708,0.000216324,0.0001140134,0.003194178,0.003204801,0.0003736229,0.0101007,0.0003764188,0.09931781,0.00003507749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559331,0.001953732,0.001042497,0.0001071901,0.00006538227,0.0001280103,0.001284674,0.00007366088,0.1394116],"genre_scores_gemma":[0.945653,0.001451599,0.001533762,0.0001779116,0.00002382245,0.00007486282,0.002753543,0.00002432047,0.04830718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068939,"threshold_uncertainty_score":0.02987862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06096060173619693,"score_gpt":0.2121937108358751,"score_spread":0.1512331090996782,"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."}}