{"id":"W6931436938","doi":"10.5281/zenodo.3680151","title":"Cyana adita","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identifier; Type (biology); Natural (archaeology); Natural history","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000085789,0.00007221266,0.00005568016,0.00002183543,0.0006357633,0.0001079786,0.0003988867,0.00004671876,0.0005992638],"category_scores_gemma":[0.0001799695,0.00007695749,0.0000330869,0.0001389616,0.00007063363,0.000005279668,0.0005227693,0.00008590068,0.0009480501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001212185,"about_ca_system_score_gemma":0.000001530358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001233839,"about_ca_topic_score_gemma":4.055464e-8,"domain_scores_codex":[0.99934,0.00004715691,0.00009861772,0.0002737509,0.00008894794,0.0001515406],"domain_scores_gemma":[0.9994199,0.000001885231,0.00003919243,0.0002588088,0.0001625407,0.000117723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003385523,0.000038871,0.000001358635,0.00001273361,0.00001642923,0.000002414362,0.00008609674,0.00002412351,0.5757442,0.003321346,0.3683543,0.05236423],"study_design_scores_gemma":[0.0001251994,0.0001774604,0.00004648768,0.000003128828,0.000003827783,0.00002270786,0.00003547128,0.0001095432,0.03554667,0.0001372047,0.9636993,0.00009295137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1758228,0.0004665171,0.5018809,0.02076919,0.0001275488,0.001653414,0.0008236733,0.003031526,0.2954245],"genre_scores_gemma":[0.9925451,0.00008509631,0.003551369,0.0009784594,0.0002538764,2.804425e-8,0.001765537,0.0005557011,0.0002648246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8167223,"threshold_uncertainty_score":0.9998298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434303971568879,"score_gpt":0.2580098393038089,"score_spread":0.2236667995881201,"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."}}