{"id":"W6948825467","doi":"10.5281/zenodo.11508014","title":"BarkNet 1.0","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Galaxy; Christmas tree; Field (mathematics)","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":[0.001163923,0.008622935,0.002393822,0.004718974,0.001694986,0.002905621,0.006918333,0.003503402,0.03181537],"category_scores_gemma":[0.002871642,0.001547686,0.002067722,0.005099003,0.0009227114,0.002469191,0.002406622,0.003641394,0.06642238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004256347,"about_ca_system_score_gemma":0.003762295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1306597,"about_ca_topic_score_gemma":0.2662006,"domain_scores_codex":[0.998925,0.0001205093,0.00007016166,0.000363124,0.0002962837,0.0002249193],"domain_scores_gemma":[0.9991966,0.0001168695,0.00005047043,0.0002616351,0.0002500862,0.0001243314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001562611,0.0001244366,0.0006057821,0.0006220732,0.00008748714,0.0000724879,0.00003103214,0.002285016,0.0006381774,0.0005290114,0.9827332,0.01211498],"study_design_scores_gemma":[0.0007839884,0.0001859,0.005704631,0.0004836885,0.0001728232,0.0005188679,0.0002021644,0.02174464,0.004760031,0.004235719,0.9610426,0.0001648919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003465493,0.001075176,0.00130889,0.0002186951,0.0002413081,0.000172735,0.9697838,0.01921406,0.00451976],"genre_scores_gemma":[0.001316034,0.0001716929,0.001728699,0.00006511293,0.00001029826,0.0001119002,0.9947702,0.0003357765,0.001490246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1306597,"threshold_uncertainty_score":0.2597983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278990485277548,"score_gpt":0.2460546930609541,"score_spread":0.2181556445331993,"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."}}