{"id":"W4310665430","doi":"10.1111/fog.12621","title":"Understanding factors influencing Atlantic herring (<scp><i>Clupea harengus</i></scp>) recruitment: From egg deposition to juveniles","year":2022,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Atlantic herring; Clupea; Herring; Abiotic component; Fishery; Biology; Population; Pelagic zone; Juvenile; Biotic component; Fisheries management; Range (aeronautics); Ecology; Fishing; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002581716,0.0003262435,0.0003002106,0.0002337823,0.00126914,0.0002820236,0.0006342693,0.00007714645,0.005405185],"category_scores_gemma":[0.00008643523,0.0003461051,0.0002003919,0.001394992,0.0001865904,0.0005274058,0.001392775,0.000463141,0.00004274707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610368,"about_ca_system_score_gemma":0.00002104039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002757246,"about_ca_topic_score_gemma":0.0008362868,"domain_scores_codex":[0.9970413,0.000190451,0.000387586,0.0006757663,0.0009475017,0.0007573387],"domain_scores_gemma":[0.9988512,0.0002359815,0.0001227796,0.0004738379,0.0000110986,0.0003050527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002464092,0.00006270916,0.9776327,0.00001554438,0.00005639598,0.00003195634,0.005269662,0.0003019752,0.001150484,0.00004074319,0.014764,0.0006491661],"study_design_scores_gemma":[0.0007761929,0.0006851753,0.3923295,0.00003969933,0.00007280314,0.00001568375,0.03162818,0.0004546652,0.002585193,0.001657302,0.5691307,0.0006249194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459044,0.0000229163,0.0008074422,0.0001709742,0.0003149683,0.0006244144,0.00009928035,0.0001991534,0.05185648],"genre_scores_gemma":[0.997724,0.00003118295,0.0007417041,0.000530998,0.00006761852,0.0001683803,0.0002554794,0.00005733188,0.0004233271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5853032,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841396739340384,"score_gpt":0.2475894558634866,"score_spread":0.1691754884700827,"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."}}