{"id":"W4280575667","doi":"10.1002/eap.2673","title":"Microclimate predicts kelp forest extinction in the face of direct and indirect marine heatwave effects","year":2022,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Bamfield Marine Sciences Centre; University of Victoria","funders":"","keywords":"Kelp; Kelp forest; Ecology; Microclimate; Habitat; Cobble; Environmental science; Oceanography; Biology; Geology","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":[0.0002323977,0.0001144729,0.0001464631,0.0002314246,0.00023276,0.0005387948,0.0001298701,0.0001732583,0.001476697],"category_scores_gemma":[0.0008761975,0.00009350182,0.000191449,0.0001525624,0.000210147,0.0002820529,0.000364971,0.0002665546,0.0002655549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041114,"about_ca_system_score_gemma":0.0001173355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004688939,"about_ca_topic_score_gemma":0.01006443,"domain_scores_codex":[0.9999208,0.0000157841,0.000004025559,0.00002548184,0.000008503452,0.00002531612],"domain_scores_gemma":[0.9995864,0.0001016692,0.0001289874,0.00004172295,0.00004561537,0.00009568101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005391591,0.00002021399,0.9949887,0.000004260406,0.00003178689,0.00002729263,0.00007606016,0.0005510994,0.001884951,0.00004564369,0.00008269681,0.002233368],"study_design_scores_gemma":[6.822884e-7,0.000009324955,0.9985007,9.419549e-7,0.000005670729,0.00002245241,0.00006177286,0.001223781,0.00008828533,0.00003786705,0.00004757158,9.446898e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996064,0.00002725788,0.0001056937,0.00001350556,0.000001069343,5.479903e-7,0.00003424742,0.000003342083,0.0002079002],"genre_scores_gemma":[0.999885,0.000008867493,0.00002664388,0.0000031972,0.000001144408,5.738204e-7,0.00003410704,0.000001271438,0.00003914739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004688939,"threshold_uncertainty_score":0.009323299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009244234245466715,"score_gpt":0.1950051366540648,"score_spread":0.1857609024085981,"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."}}