{"id":"W6967520028","doi":"10.5063/f1gh9g6v","title":"Salmon age, sex, and length data from Arctic-Yukon-Kuskokwim Region of Alaska, 1960-2017","year":2018,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish measurement; Population; Table (database); Fisheries management; Fishing; Fish <Actinopterygii>; Sampling (signal processing); Population size","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":[0.0003961679,0.0004395564,0.0003658081,0.001865425,0.0007072705,0.0004930451,0.000581936,0.0002437032,0.00533659],"category_scores_gemma":[0.001027092,0.0002805534,0.0003598021,0.003832913,0.0001468998,0.0003695812,0.0006470276,0.0003009622,0.003970457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208856,"about_ca_system_score_gemma":0.00323362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.435746,"about_ca_topic_score_gemma":0.5735664,"domain_scores_codex":[0.9996399,0.0000166743,0.00006891034,0.0001064453,0.0001145188,0.00005354897],"domain_scores_gemma":[0.9988474,0.00004688937,0.0001755161,0.00008256037,0.000755589,0.0000920469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003214266,0.00006420319,0.7313631,0.001196065,0.0003074834,0.000326186,0.0007957508,0.001416535,0.001473511,0.0005941968,0.2267952,0.03534639],"study_design_scores_gemma":[0.00002291648,0.00003348601,0.8763247,0.0002610046,0.00008374292,0.00009760232,0.001300912,0.0003289332,0.0003796624,0.000114954,0.1210221,0.00003000221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1199517,0.0007306368,0.0003828981,0.00008344631,0.00007253198,0.00003928252,0.8718911,0.0001328947,0.006715522],"genre_scores_gemma":[0.08867275,0.0005155284,0.0008632208,0.0000559695,0.00001254158,0.0001369458,0.903561,0.00002854379,0.006153499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.435746,"threshold_uncertainty_score":0.8664193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06507823901966718,"score_gpt":0.3096204168154545,"score_spread":0.2445421777957873,"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."}}