{"id":"W2911218560","doi":"10.1002/ecy.2594","title":"Recruitment tolerance to increased temperature present across multiple kelp clades","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Kelp; Ecology; Kelp forest; Biology; Upwelling; Effects of global warming on oceans; Climate change; Population; Latitude; Global warming; Oceanography; Environmental science; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001613113,0.0001283723,0.0002184164,0.00003392215,0.00009086187,0.00002866502,0.0002207284,0.0001448343,0.005801356],"category_scores_gemma":[0.00003968992,0.00009975288,0.00004029091,0.0001120048,0.00003249257,0.00006433772,0.00005207358,0.0001531383,0.002902647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005260878,"about_ca_system_score_gemma":0.00003527509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00535891,"about_ca_topic_score_gemma":0.05039228,"domain_scores_codex":[0.9988777,0.0001003538,0.0001645179,0.0003334882,0.00008300048,0.0004409138],"domain_scores_gemma":[0.9993519,0.0002366554,0.00004087128,0.0002070987,0.00002560506,0.0001378942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002002956,0.00002427099,0.9688508,0.00001145029,0.00001489183,0.00002459332,0.0001378511,0.0009708775,0.001240609,0.00001540397,0.005898155,0.0226108],"study_design_scores_gemma":[0.0003530839,0.0003996139,0.7144637,0.000003588004,0.000002113285,0.00002216746,0.00009280186,0.0006332815,0.0004414461,0.0000451421,0.2834193,0.0001238295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838111,0.00008322298,0.000001343861,0.0009308869,0.0007616077,0.0006325936,0.0001818876,0.00003846388,0.01355893],"genre_scores_gemma":[0.9878832,0.00001842302,0.0001823917,0.002290854,0.0001954102,0.00001441276,0.0002754386,0.000002734489,0.009137213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775211,"threshold_uncertainty_score":0.9978737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204183873166598,"score_gpt":0.2469677135573418,"score_spread":0.226549326240682,"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."}}