{"id":"W7019159215","doi":"","title":"Gadget for anchovy 9a South: Model description and results to provide catch advice and reference points (WGHANSA-1 2021)","year":2021,"lang":"en","type":"report","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gadget; Advice (programming); Table (database); Section (typography); Point (geometry); Quarter (Canadian coin)","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":[0.0006742599,0.00110066,0.0005637321,0.0005588511,0.0003609312,0.001261624,0.001628745,0.001041533,0.02035878],"category_scores_gemma":[0.001095683,0.0004874613,0.001116226,0.0006970367,0.0001873998,0.0009059233,0.0007187004,0.0009455614,0.007567322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113882,"about_ca_system_score_gemma":0.001330563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1167897,"about_ca_topic_score_gemma":0.08282547,"domain_scores_codex":[0.9998636,0.00002828055,0.000008107042,0.00003463948,0.00003828227,0.00002705945],"domain_scores_gemma":[0.9997613,0.00006305143,0.00001988629,0.00003211225,0.00009844536,0.0000252001],"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":[0.0003865644,0.0001579929,0.01477718,0.0003286598,0.000214507,0.0001658749,0.00005016831,0.8496287,0.001700715,0.004408769,0.1092625,0.01891824],"study_design_scores_gemma":[0.0004575042,0.0001347659,0.01294431,0.0001345747,0.000122089,0.00008052165,0.0001444498,0.9035061,0.003930224,0.00445786,0.07396872,0.0001188762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2423766,0.0007604054,0.05257408,0.002628132,0.0004577809,0.0007101509,0.5970885,0.008797472,0.09460679],"genre_scores_gemma":[0.5415993,0.0005804261,0.0510925,0.0006019175,0.00006526663,0.001635136,0.3475904,0.002445035,0.05439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1167897,"threshold_uncertainty_score":0.2322199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2553823784444454,"score_gpt":0.3588483239965244,"score_spread":0.1034659455520791,"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."}}