{"id":"W2465095434","doi":"","title":"Merging Acoustic and Reproductive Data with Dispersal Models to Improve Recruitment Indices in European Anchovy","year":2014,"lang":"en","type":"article","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":"Geography; Fishery; Anchovy; Fisheries management; Biological dispersal; Political science; Sociology; Fish <Actinopterygii>; Population; Demography; Fishing; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01172593,0.0002537886,0.0002483315,0.0001821546,0.0003133725,0.0007327259,0.001126068,0.00005809102,0.0003838071],"category_scores_gemma":[0.01018468,0.0002185564,0.00002479096,0.001047516,0.000633281,0.002481283,0.002784164,0.0005895289,0.000205473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002743007,"about_ca_system_score_gemma":0.0007961881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129939,"about_ca_topic_score_gemma":0.002486067,"domain_scores_codex":[0.9885402,0.0002863994,0.0003488605,0.001527137,0.008426033,0.0008713803],"domain_scores_gemma":[0.9968241,0.0005943087,0.00007689237,0.0009652023,0.00107729,0.0004621484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002013037,0.001825259,0.05176539,0.0002485384,0.0002890963,0.0002667287,0.009326776,0.0160396,0.004865861,0.00969599,0.1327218,0.7709419],"study_design_scores_gemma":[0.002698627,0.001834235,0.03872639,0.0001427934,0.00002016087,0.00003963271,0.002398945,0.11532,0.0001605843,0.01187287,0.8254775,0.001308337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1038524,0.00004041689,0.001668311,0.001983093,0.00006547097,0.001588544,0.0002784644,0.00005811224,0.8904652],"genre_scores_gemma":[0.9941941,0.00006281954,0.0005149901,0.0002194953,0.0002181576,0.000156645,0.0001022048,0.00005257449,0.004478996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8903418,"threshold_uncertainty_score":0.998153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2218773960251139,"score_gpt":0.3382556775889448,"score_spread":0.1163782815638309,"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."}}