{"id":"W6887974932","doi":"10.17882/104239","title":"Exploring Ecosystem Impacts in Newfoundland and Labrador: Simulations with Harp Seal, Cod, and Capelin Across Three Historical Time Periods","year":2025,"lang":"en","type":"dataset","venue":"SEANOE","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Capelin; Groundfish; Ecosystem; Biomass (ecology); HARP; Marine ecosystem","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":[0.0005675749,0.0007817747,0.001165882,0.0005459049,0.0004094384,0.0004964434,0.0003767359,0.0004016116,0.00006912414],"category_scores_gemma":[0.0002413558,0.0007199936,0.00006649701,0.0008300461,0.00013062,0.0007101521,0.0004459948,0.0009056621,0.0002046317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003375218,"about_ca_system_score_gemma":0.000685883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01587068,"about_ca_topic_score_gemma":0.4660635,"domain_scores_codex":[0.9964983,0.000219363,0.0006684078,0.001093083,0.000604392,0.0009163909],"domain_scores_gemma":[0.9976031,0.0004510662,0.0003180213,0.001036502,0.000150473,0.0004407993],"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":[0.0004663167,0.0001626709,0.01706641,0.001242793,0.0002178176,0.0003118963,0.0008462367,0.0006158521,0.00009571367,0.000007115583,0.9787918,0.0001754148],"study_design_scores_gemma":[0.002953416,0.0002238997,0.01129138,0.001171818,0.0002256085,0.00008738932,0.0001194457,0.001835878,0.00000298457,0.000006731884,0.9811135,0.0009679306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2724298,0.001121252,0.000002767279,0.00009848065,0.0002187108,0.0006926128,0.7253112,0.0001032267,0.00002202479],"genre_scores_gemma":[0.03419063,0.0003273646,0.0001291387,0.00003744914,0.0003525752,0.00008742484,0.9642644,0.0001357882,0.0004752111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4501928,"threshold_uncertainty_score":0.9995251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04733189681376977,"score_gpt":0.2850085632123067,"score_spread":0.237676666398537,"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."}}