{"id":"W6906429744","doi":"10.17882/100972","title":"Acoustic survey data for Chinook salmon North and South of Vancouver Island in 2020","year":2020,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydrographic survey; Hydrography; Chinook wind; Aerial survey; Survey methodology; Survey data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007391836,0.0005309275,0.001041321,0.0002239859,0.00004918094,0.00004949262,0.001357544,0.0002871232,0.0000833215],"category_scores_gemma":[0.00182703,0.0005107361,0.00005951068,0.000553609,0.0001387058,0.0001976987,0.001173533,0.0005713388,0.0004138072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006380839,"about_ca_system_score_gemma":0.0005119227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721092,"about_ca_topic_score_gemma":0.640799,"domain_scores_codex":[0.9969151,0.0002989488,0.0006473229,0.001168825,0.000489245,0.0004805774],"domain_scores_gemma":[0.9966667,0.0005404845,0.00052945,0.00197034,0.0001026882,0.0001903837],"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":[0.0005540547,0.00008545152,0.009655676,0.001061184,0.0001285755,0.00004215818,0.00009447736,0.00006723571,0.00001454369,5.845633e-8,0.9882653,0.00003123779],"study_design_scores_gemma":[0.002429194,0.0002113322,0.05750553,0.0001952125,0.0004158228,0.000002987851,0.00006190228,0.001681991,0.000003574006,0.00001313033,0.936695,0.0007843242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001563433,0.0001983272,0.00003826349,0.000004443039,0.0004259186,0.001100599,0.9966198,0.00003060759,0.00001856791],"genre_scores_gemma":[0.004334121,0.0001038094,0.00008588825,0.00006786222,0.0002648504,0.00001800531,0.9949196,0.0001414961,0.0000643658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6380779,"threshold_uncertainty_score":0.9997344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04389631958513553,"score_gpt":0.2832278509950464,"score_spread":0.2393315314099109,"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."}}