{"id":"W2745316183","doi":"10.3897/tdwgproceedings.1.20290","title":"Living Atlases Community","year":2017,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Architecture; World Wide Web; Computer science; Business; Library science; Geography; Economic growth","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"],"consensus_categories":[],"category_scores_codex":[0.001324442,0.00005030151,0.00004859322,0.00003696156,0.00304501,0.000278063,0.0003084989,0.00002650746,0.000004214422],"category_scores_gemma":[0.0007323786,0.00004593255,0.00001582913,0.00002887163,0.0006320017,0.00002846826,0.0005795013,0.00003815181,0.000006046248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002595833,"about_ca_system_score_gemma":0.0001780283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091097,"about_ca_topic_score_gemma":0.00003558539,"domain_scores_codex":[0.9994428,0.00001198305,0.00006396795,0.00006072632,0.0003130533,0.0001074315],"domain_scores_gemma":[0.9989609,0.000006239707,0.00007421133,0.0002645793,0.000641601,0.00005252963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001840572,0.0000853465,0.7374328,0.00009951417,0.00009852724,0.000001216536,0.01515233,0.00004021509,0.09014408,0.0006945676,0.06631833,0.08974901],"study_design_scores_gemma":[0.0003145917,0.0002036399,0.6369386,0.000008517792,0.000009481805,0.000004800761,0.003557147,0.0000264173,0.007919587,0.00001906967,0.3508171,0.0001810456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912365,0.00003398907,0.0000800049,0.0001218953,0.00009168874,0.00004633666,0.0003271827,0.000002090278,0.008060282],"genre_scores_gemma":[0.9994789,0.0002060633,0.00007808709,0.0002109993,0.00001078997,6.081042e-7,0.000004866676,3.099017e-7,0.000009401276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844987,"threshold_uncertainty_score":0.9982529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259279980518532,"score_gpt":0.268219369059578,"score_spread":0.2456265692543927,"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."}}