{"id":"W2151419715","doi":"10.1093/icesjms/fsr043","title":"Potential impacts of climate change on Northeast Pacific marine foodwebs and fisheries","year":2011,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Pew Charitable Trusts","keywords":"Trophic level; Environmental science; Oceanography; Demersal zone; Climate change; Biomass (ecology); Fishery; Marine ecosystem; Pelagic zone; Ecosystem; Productivity; Fishing; Trawling; Marine protected area; Ecology; Biology; Geology; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106541,0.0001015928,0.0001757497,0.0002625706,0.0001599408,0.00006792495,0.0003145262,0.00002441905,0.0008159797],"category_scores_gemma":[0.0000951258,0.00006419324,0.00004677302,0.000323309,0.000545535,0.0007105361,0.00006843838,0.0001061856,0.000009759726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000269925,"about_ca_system_score_gemma":0.00005725669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003187606,"about_ca_topic_score_gemma":0.0001714192,"domain_scores_codex":[0.9988605,0.00005918271,0.0002833962,0.0001419638,0.0004149145,0.0002400139],"domain_scores_gemma":[0.9990743,0.00007161163,0.000391984,0.0001310712,0.0001424953,0.0001885256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004430387,0.00003557995,0.8437731,0.00003041473,0.000006626341,0.00002544963,0.0004410926,0.000005351706,0.0002431076,0.00004659675,0.000008262879,0.1549414],"study_design_scores_gemma":[0.0002116151,0.001090908,0.9966839,0.00003331574,0.00001270164,0.0001617901,0.0002283491,0.0003046746,0.0007969462,0.0002386219,0.0001580918,0.00007907478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860064,0.00009552419,0.000003713284,0.0002043367,0.000347746,0.00007237057,0.00001537317,0.000005572977,0.01324893],"genre_scores_gemma":[0.9981366,0.000884218,0.000806667,0.00004669705,0.00009659209,1.159697e-7,0.000001475468,0.000002122221,0.00002555687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1548623,"threshold_uncertainty_score":0.8934405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087684678470295,"score_gpt":0.2183185554969153,"score_spread":0.1974417087122124,"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."}}