{"id":"W6899452642","doi":"10.5883/ds-soc2014","title":"Untangling Taxonomy: A DNA Barcode Reference Library for Canadian Spiders","year":2015,"lang":"en","type":"dataset","venue":"Barcode of Life Data Systems","topic":"","field":"","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"DNA barcoding; Barcode; Spider; DNA sequencing","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00243172,0.001394507,0.00273598,0.00177366,0.0003086959,0.0006206486,0.009796593,0.001246815,0.0002662958],"category_scores_gemma":[0.003270613,0.001451551,0.0002159781,0.0009163267,0.0003404076,0.002549398,0.001874646,0.001015979,0.00297225],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007442462,"about_ca_system_score_gemma":0.0161436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4284036,"about_ca_topic_score_gemma":0.2623354,"domain_scores_codex":[0.9907523,0.0007933365,0.002691613,0.002477285,0.001364363,0.00192107],"domain_scores_gemma":[0.9839262,0.0006812098,0.002258358,0.009789225,0.0005108409,0.00283421],"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":[0.0001807701,0.00007679334,0.00007691269,0.003335438,0.000474446,0.00007685746,0.00001800344,0.0001087917,0.00002323346,0.0001391557,0.9954523,0.00003731515],"study_design_scores_gemma":[0.001303626,0.0001293105,0.000007750587,0.002215391,0.0004667687,0.00004025816,0.0006081078,0.001767775,0.00001072996,0.00001652107,0.9919837,0.00145009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002034589,0.003821943,0.0001010399,0.000121191,0.001884506,0.005348991,0.9876669,0.0002604918,0.0007745721],"genre_scores_gemma":[0.0003460304,0.0001443598,0.001974668,0.0002737471,0.002026035,0.001194637,0.9931856,0.0005491908,0.0003057439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1660682,"threshold_uncertainty_score":0.9998806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2151043306807515,"score_gpt":0.3067065963128093,"score_spread":0.09160226563205773,"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."}}