{"id":"W6977349279","doi":"10.6084/m9.figshare.808.v1","title":"Cluster analysis of publicly available sequences","year":2011,"lang":"en","type":"other","venue":"Figshare","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Set (abstract data type); Data set; Field (mathematics); Key (lock)","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":[0.002591579,0.001866135,0.001792582,0.0125988,0.002655059,0.002401755,0.001895126,0.0007980163,0.03494909],"category_scores_gemma":[0.009977812,0.0005454339,0.002319319,0.0155433,0.0006496828,0.001297935,0.00233258,0.001345356,0.0259916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678343,"about_ca_system_score_gemma":0.003636139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006685985,"about_ca_topic_score_gemma":0.01102252,"domain_scores_codex":[0.9957942,0.0004693111,0.0003832629,0.001741205,0.001066029,0.0005459705],"domain_scores_gemma":[0.9966457,0.0009274935,0.0002689493,0.0008689793,0.001044835,0.0002440109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005012549,0.0008822422,0.02771898,0.007324497,0.001411741,0.001293982,0.003069953,0.00727473,0.05949197,0.01549803,0.5333002,0.3377211],"study_design_scores_gemma":[0.0005037442,0.0005694916,0.1317507,0.0009325848,0.0008684972,0.0014037,0.00295392,0.03916927,0.04694154,0.01797884,0.7564626,0.0004651609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07482915,0.001012184,0.04235852,0.0005512405,0.0005475336,0.0008245547,0.8282748,0.0307904,0.02081168],"genre_scores_gemma":[0.06230137,0.0004834466,0.09401452,0.00008376869,0.00008054035,0.001757823,0.8301082,0.003783746,0.007386571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03494909,"threshold_uncertainty_score":0.1169164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432762863451317,"score_gpt":0.3055705033573624,"score_spread":0.1622942170122307,"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."}}