{"id":"W1567208240","doi":"","title":"An assessment of NAFO roughhead grenadier Subarea 2 and 3 stock.","year":2010,"lang":"en","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Stock (firearms); Stock assessment; Fishing; Geography; Oceanography; Geology; Biology; Archaeology","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":[0.0006986634,0.000484698,0.0001929637,0.002098071,0.0001835447,0.0006743666,0.0003780972,0.0002267485,0.002062982],"category_scores_gemma":[0.0007912676,0.00008038779,0.0005450327,0.001057633,0.0001381682,0.0004379418,0.0004143734,0.0001199531,0.0004192862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280592,"about_ca_system_score_gemma":0.0009690353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1456889,"about_ca_topic_score_gemma":0.2404368,"domain_scores_codex":[0.9997714,0.00003083007,0.00001491695,0.00002935204,0.0001238184,0.0000296856],"domain_scores_gemma":[0.9996063,0.00005221042,0.000126383,0.00002163081,0.0001618276,0.00003164524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001862042,0.00005398281,0.8888149,0.0001418689,0.0002809404,0.0004504895,0.000702986,0.02496982,0.002814046,0.001487465,0.00279373,0.07730347],"study_design_scores_gemma":[0.00001458607,0.000269444,0.9390131,0.0001149123,0.0001640652,0.000263746,0.00296832,0.03749897,0.001874553,0.000957744,0.01681006,0.00005055402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735161,0.0009204524,0.003808978,0.0002024706,0.0000325032,0.00008669453,0.004754675,0.0001009528,0.01657722],"genre_scores_gemma":[0.9825316,0.0006102314,0.004873978,0.00004047581,0.00001286551,0.00005026724,0.005289401,0.00001513986,0.006576122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1456889,"threshold_uncertainty_score":0.2896819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030189925764003,"score_gpt":0.3867297962475018,"score_spread":0.2837108036711015,"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."}}