{"id":"W6950301491","doi":"10.5281/zenodo.8051016","title":"UBC-Stat-ML/sitka_data: Sitka data publication","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phylogenetic tree; Key (lock); Field (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00217944,0.002371712,0.002240061,0.004575291,0.001239369,0.004151246,0.003814532,0.002563629,0.3140824],"category_scores_gemma":[0.01455476,0.001714431,0.002185239,0.006064135,0.000768951,0.002272083,0.003163076,0.002934315,0.3710206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171349,"about_ca_system_score_gemma":0.002947028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007774649,"about_ca_topic_score_gemma":0.01130347,"domain_scores_codex":[0.9983224,0.0002389394,0.0002126458,0.0005000469,0.0004550856,0.0002707974],"domain_scores_gemma":[0.9930571,0.002277883,0.0003991311,0.002556091,0.001175396,0.0005342383],"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":[0.0001070612,0.00001978568,0.0005932206,0.0005096911,0.00005964089,0.00002789116,0.00002352282,0.0003759829,0.0003783769,0.0006385717,0.9944829,0.002783256],"study_design_scores_gemma":[0.0006878296,0.00003761761,0.003772901,0.0002555174,0.00009734437,0.0001297493,0.00006286656,0.001808578,0.00231324,0.005612252,0.9851235,0.00009872752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001585971,0.00002714828,0.0005189128,0.00005189763,0.00004339089,0.00001635918,0.9931499,0.004905737,0.001128068],"genre_scores_gemma":[0.0007842036,0.00002450455,0.0009710491,0.00004638502,0.00001258814,0.00009748748,0.9942809,0.002867125,0.0009156927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3140824,"threshold_uncertainty_score":0.9783782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003646254858031,"score_gpt":0.2967996710864552,"score_spread":0.1964350456006522,"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."}}