{"id":"W2799989237","doi":"10.1002/ecy.2209","title":"The duality of ocean acidification as a resource and a stressor","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Australian Research Council","keywords":"Ecosystem; Kelp; Ecology; Dominance (genetics); Kelp forest; Ocean acidification; Disturbance (geology); Resource (disambiguation); Alternative stable state; Biology; Climate change","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":[0.0004394428,0.0000407061,0.00006469807,0.00002398473,0.0001953223,0.00001533888,0.00009534053,0.00003930987,0.0003233831],"category_scores_gemma":[0.0002554974,0.00002391504,0.00001289244,0.00007168281,0.0004157417,0.000028365,0.000007239435,0.00003814028,0.00008676485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000103133,"about_ca_system_score_gemma":0.00002427445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008355912,"about_ca_topic_score_gemma":0.0005291423,"domain_scores_codex":[0.9994137,0.0001991246,0.0001134652,0.0001083962,0.00005851989,0.0001068035],"domain_scores_gemma":[0.9991308,0.0005833624,0.00007736286,0.0001383522,0.00003324039,0.00003688817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006577464,0.00004652233,0.8936582,0.00002754308,0.00004593634,0.000004148948,0.002401947,0.00002263497,0.0009340102,0.003781863,0.008008695,0.09041075],"study_design_scores_gemma":[0.00009881625,0.0002600791,0.9653454,0.000001644263,0.000004652389,0.000009419714,0.0003373599,0.0004108953,0.001088623,0.0007256594,0.0316837,0.00003373713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938649,0.0001721475,0.000004763206,0.002249129,0.00009492195,0.00009323889,0.0000128079,0.00001127621,0.003496803],"genre_scores_gemma":[0.9991118,0.00003982545,0.00004155505,0.0001485812,0.00006310584,2.462764e-7,0.00000845333,9.943749e-7,0.0005854166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09037701,"threshold_uncertainty_score":0.3540818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012425056919694,"score_gpt":0.2381881594403782,"score_spread":0.2280639088711813,"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."}}