{"id":"W6966661315","doi":"10.48336/wbkw-st94","title":"Estimating abundance indices for NAFO Subarea 2 + Division 3K redfish via a spatiotemporal model","year":2023,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Groundfish; Stock assessment; Fishing; Abundance (ecology); Stock (firearms); Population; Index (typography); Commercial fishing","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":[0.0007141709,0.0003898602,0.0002587632,0.0004456778,0.000188075,0.0007557012,0.0006993225,0.0003250269,0.0006588362],"category_scores_gemma":[0.001956961,0.000341759,0.0007202609,0.0005148923,0.0001928305,0.0005498344,0.0005013807,0.0003627145,0.0001626587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316811,"about_ca_system_score_gemma":0.001013653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1173614,"about_ca_topic_score_gemma":0.101648,"domain_scores_codex":[0.9998024,0.00003402344,0.00001738476,0.00009173984,0.00002768289,0.00002674605],"domain_scores_gemma":[0.9993359,0.0003167075,0.000164925,0.00004476353,0.0001161066,0.00002152182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002870888,0.00002136183,0.05016837,0.00001512791,0.00006217841,0.00002899388,0.00005091579,0.9363018,0.0006840268,0.001029868,0.000220556,0.01138807],"study_design_scores_gemma":[0.000001107161,0.000005214632,0.005076278,0.000002441598,0.000007674361,0.000005590143,0.00001407302,0.9944552,0.0001019835,0.0002363328,0.00009108085,0.000003015736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410682,0.0001861302,0.1538788,0.0002213971,0.0000150286,0.00005573384,0.00165222,0.00026565,0.00265691],"genre_scores_gemma":[0.9610928,0.0001763672,0.03565659,0.0000230318,0.000008156892,0.00006359624,0.001525663,0.00003063808,0.001423201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173614,"threshold_uncertainty_score":0.2333565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694180751043238,"score_gpt":0.2713100681014891,"score_spread":0.2343682605910567,"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."}}