{"id":"W1984492939","doi":"10.1139/f08-176","title":"Reconstructing historical stock development of Atlantic cod (Gadus morhua) in the eastern Baltic Sea before the beginning of intensive exploitation","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gadus; Fishery; Fishing; Stock (firearms); Atlantic cod; Baltic sea; Gadidae; Geography; Oceanography; Biology; Fish <Actinopterygii>; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003585814,0.0001246954,0.0001001588,0.00139078,0.0002970015,0.0004062566,0.0002171803,0.0001834413,0.0005446554],"category_scores_gemma":[0.0008297007,0.0001375539,0.0001014039,0.0008293319,0.0002095787,0.0003766837,0.0002844474,0.0001396598,0.0001285457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396038,"about_ca_system_score_gemma":0.0002331061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04209277,"about_ca_topic_score_gemma":0.1303968,"domain_scores_codex":[0.9999226,0.00001438411,0.000009951747,0.00002121333,0.00001275532,0.0000190886],"domain_scores_gemma":[0.9996408,0.00004961016,0.000133252,0.00002953275,0.00008766914,0.00005903389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001770341,0.0000118403,0.9946302,0.00000464364,0.00002130656,0.0001002207,0.0002571736,0.000223696,0.0006870652,0.00005208649,0.00005692831,0.00393703],"study_design_scores_gemma":[5.821821e-7,0.000008069947,0.9993889,0.000002676404,0.000004504201,0.00002698899,0.0001630763,0.0001811579,0.00006084337,0.000009758911,0.0001522737,0.000001193847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995487,0.00005874255,0.00003014599,0.000006964573,8.84829e-7,8.848628e-7,0.00007647348,9.095778e-7,0.0002763031],"genre_scores_gemma":[0.9995649,0.00005738299,0.00006754897,0.000003270743,0.000001276333,0.000001232989,0.0002163025,5.763098e-7,0.00008744322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209277,"threshold_uncertainty_score":0.08369553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05469336521362556,"score_gpt":0.2397130955457508,"score_spread":0.1850197303321252,"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."}}