{"id":"W6929858533","doi":"10.5061/dryad.msbcc2fvk","title":"Data from: Insights on the concept of indicator populations derived from parentage-based tagging in a large-scale coho salmon application in British Columbia, Canada","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fisheries management; Biodiversity; Oncorhynchus; Hatchery; Resource (disambiguation); Geographic information system; Resource management (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002394872,0.001104291,0.00101459,0.004117753,0.001784592,0.002712179,0.003234508,0.00101348,0.0137613],"category_scores_gemma":[0.01193254,0.0006550258,0.000739096,0.01408135,0.0005516539,0.0008548497,0.001814862,0.001301429,0.00611025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188021,"about_ca_system_score_gemma":0.01557049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9636356,"about_ca_topic_score_gemma":0.9810915,"domain_scores_codex":[0.9988046,0.0001511545,0.0001278347,0.0003317175,0.0003503872,0.0002342735],"domain_scores_gemma":[0.9939434,0.001403757,0.0004920213,0.001004739,0.002711142,0.000444883],"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":[0.0000928157,0.00002126726,0.02367738,0.001162116,0.0001593366,0.00007009967,0.0003283975,0.002005682,0.0001912859,0.002147702,0.9583117,0.01183209],"study_design_scores_gemma":[0.0001666424,0.000009580877,0.1389854,0.001236722,0.0001157494,0.00006700242,0.0006055327,0.002737343,0.0003615137,0.002097188,0.8535315,0.00008595499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001026065,0.0001773349,0.0001984997,0.0001110033,0.0000115057,0.00001845146,0.9973114,0.0001304558,0.001015245],"genre_scores_gemma":[0.004171053,0.0001636699,0.00105132,0.00004969108,0.000003557083,0.00008687851,0.9936877,0.0000540225,0.0007321631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03636438,"threshold_uncertainty_score":0.08619732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773845400795014,"score_gpt":0.2333842281871831,"score_spread":0.2056457741792329,"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."}}