{"id":"W6923500016","doi":"10.1371/journal.pone.0221361.t002","title":"Size and age of burbot, lake whitefish and northern pike collected from Great Slave Lake, Northwest Territories, Canada.","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pike; Fish <Actinopterygii>; Fishing; Esox; Shore","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":[0.0006864864,0.001421649,0.001166486,0.003224142,0.001730176,0.001211898,0.002953448,0.0009416465,0.01867186],"category_scores_gemma":[0.002933705,0.0006239134,0.001056288,0.006072532,0.000565134,0.0005157025,0.001152315,0.001153667,0.01108918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006952982,"about_ca_system_score_gemma":0.01488322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9571117,"about_ca_topic_score_gemma":0.9848279,"domain_scores_codex":[0.999508,0.00001478165,0.00003917479,0.0001021568,0.0001719816,0.0001638779],"domain_scores_gemma":[0.9969628,0.0002524198,0.0001744622,0.0002629561,0.001936377,0.0004108733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001065741,0.00002590787,0.0132817,0.0004825792,0.00005734098,0.00003781491,0.0000759838,0.0002268319,0.000190479,0.0002220993,0.9814543,0.003838404],"study_design_scores_gemma":[0.000418985,0.0000303972,0.3637172,0.001001337,0.000182307,0.0001541392,0.001370723,0.0009656637,0.0007358516,0.000479409,0.6308559,0.00008814524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001219785,0.00007768898,0.0000324728,0.00004803711,0.00002249391,0.00001311992,0.9978023,0.00007526664,0.0007088184],"genre_scores_gemma":[0.00355491,0.00008936863,0.0002468103,0.00004721173,0.00000533887,0.00005324778,0.9942685,0.00003053275,0.001704034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04288834,"threshold_uncertainty_score":0.08628178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350208426215038,"score_gpt":0.2167540521776527,"score_spread":0.2032519679155023,"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."}}