{"id":"W6887301540","doi":"10.15468/inygc6","title":"International Barcode of Life project (iBOL)","year":2016,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Barcode; Biodiversity; Investment (military); Data collection; Data access","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":[0.003325684,0.001928447,0.001695564,0.007672897,0.001181138,0.002737753,0.004102785,0.001967663,0.03511284],"category_scores_gemma":[0.01295256,0.0007742163,0.001214801,0.01260431,0.0007996469,0.002509639,0.0037718,0.002751454,0.04585574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293872,"about_ca_system_score_gemma":0.005316654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03689951,"about_ca_topic_score_gemma":0.04643881,"domain_scores_codex":[0.9972492,0.0004827924,0.0004059921,0.0008150992,0.0006922642,0.000354628],"domain_scores_gemma":[0.9954639,0.001112259,0.0007720753,0.001065417,0.001112966,0.0004733262],"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":[0.0001611767,0.00002899505,0.002614135,0.00145801,0.00006377692,0.00005822354,0.00007774885,0.0004622482,0.0002327312,0.002770232,0.9846222,0.007450701],"study_design_scores_gemma":[0.0001010501,0.00001216977,0.004016622,0.0004768829,0.00003213567,0.00007604712,0.00007846942,0.0003165501,0.000361896,0.001983516,0.9925106,0.00003413994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001841886,0.0001295882,0.0003124804,0.00009537987,0.00002570522,0.00001816427,0.998102,0.0003242354,0.0008083164],"genre_scores_gemma":[0.000334776,0.00008020109,0.0006519833,0.00003833337,0.000003897695,0.00009407879,0.9984074,0.00007311793,0.0003161393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03689951,"threshold_uncertainty_score":0.1174641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07312417397577463,"score_gpt":0.3763584785993777,"score_spread":0.303234304623603,"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."}}