{"id":"W2033460077","doi":"10.1111/jfb.12647","title":"Otolith shape: a population marker for Atlantic herring <i>Clupea harengus</i>","year":2015,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Otolith; Clupea; Biology; Atlantic herring; Herring; Fishery; Population; Norwegian; Zoology; Fish <Actinopterygii>","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":[0.0003823335,0.0002950677,0.0002123627,0.001217171,0.00027193,0.0005007681,0.0001646101,0.0002394043,0.0006058132],"category_scores_gemma":[0.0007831667,0.0001173598,0.0002096487,0.0005776539,0.0002884452,0.0002115269,0.0003221111,0.0001433619,0.0001604266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921874,"about_ca_system_score_gemma":0.0001738751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579886,"about_ca_topic_score_gemma":0.04360439,"domain_scores_codex":[0.9998382,0.00003154735,0.00001453955,0.00006065874,0.00002820754,0.0000267524],"domain_scores_gemma":[0.9993834,0.0001371804,0.0002276002,0.00004800483,0.000115327,0.00008846026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001623295,0.00001745318,0.977896,0.00001138006,0.00005058671,0.00005162972,0.0001659033,0.0002935245,0.01205734,0.00001293597,0.00005134097,0.00922966],"study_design_scores_gemma":[0.000001841778,0.0000314009,0.9992749,0.000001296897,0.0000103519,0.00004936457,0.0001038836,0.0002787778,0.0001987215,0.000006062407,0.00004035814,0.0000029653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996327,0.00003136437,0.0001398531,0.000003137937,0.000001291053,0.000001613963,0.0000703752,0.00000437428,0.0001152066],"genre_scores_gemma":[0.9994411,0.00001673633,0.0002683741,0.000003839918,0.000001207188,0.000002689388,0.0001853418,0.000002063174,0.00007864042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579886,"threshold_uncertainty_score":0.03141379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550238995759765,"score_gpt":0.2900556634259117,"score_spread":0.2545532734683141,"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."}}