{"id":"W7074669636","doi":"","title":"Projected impacts of climate change on marine fish and fisheries","year":2013,"lang":"en","type":"article","venue":"","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada","funders":"","keywords":"Climate change; Fishing; Fish <Actinopterygii>; Ectotherm; Fisheries management; Effects of global warming; Fish stock","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085236,0.0008226454,0.0002680143,0.0005547836,0.000660585,0.00100938,0.0005762645,0.001495254,0.008223386],"category_scores_gemma":[0.001887453,0.000235958,0.0008252772,0.0008490644,0.0006133184,0.00144416,0.001183168,0.000982628,0.001058618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002242501,"about_ca_system_score_gemma":0.001721736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03098604,"about_ca_topic_score_gemma":0.04268175,"domain_scores_codex":[0.9995689,0.00009745531,0.0000178605,0.00004179661,0.000116739,0.0001572493],"domain_scores_gemma":[0.999105,0.0001312551,0.0001339748,0.00002581076,0.0004356529,0.0001682391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002844736,0.0005078238,0.3733349,0.001249408,0.001118291,0.004851906,0.001092221,0.3108283,0.03615174,0.05941111,0.0586471,0.1499624],"study_design_scores_gemma":[0.0002047242,0.00148615,0.5852768,0.0005779648,0.0009309496,0.002210478,0.008294477,0.2155754,0.0161874,0.06982382,0.0989998,0.000431982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731934,0.006798082,0.01847492,0.0211021,0.001875097,0.00007117191,0.01433443,0.0003782016,0.0637726],"genre_scores_gemma":[0.98781,0.003459285,0.002642557,0.0008073714,0.0001568234,0.00006607801,0.001551985,0.00002583529,0.003479891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03098604,"threshold_uncertainty_score":0.06161135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215049322965097,"score_gpt":0.1899062852629439,"score_spread":0.1777557920332929,"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."}}