{"id":"W1975328522","doi":"10.1007/s004840000050","title":"Spring phenology trends in Alberta, Canada: links to ocean temperature","year":2000,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":286,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Division of Mathematical Sciences; University of Alberta","keywords":"Spring (device); Phenology; Bloom; Climatology; Geography; Oceanography; Spring bloom; Physical geography; Environmental science; Ecology; Biology; Geology; Phytoplankton","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001372036,0.00008343351,0.0001414133,0.0003150231,0.00001776304,0.00001386539,0.0003999397,0.0001250754,0.00249223],"category_scores_gemma":[0.00001430357,0.00007242885,0.00004136933,0.0002744617,0.0000395024,0.00009372849,0.00005393822,0.0002884519,0.00004112236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148417,"about_ca_system_score_gemma":0.00003662413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2175169,"about_ca_topic_score_gemma":0.6037483,"domain_scores_codex":[0.9991018,0.00003971367,0.0003239497,0.0001237614,0.0002378159,0.000172977],"domain_scores_gemma":[0.9996989,0.00004210115,0.00008555651,0.00007124541,0.00001852895,0.00008362999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005293627,0.0002233612,0.6148445,0.000001275964,0.0002161996,0.001256801,0.0006474816,0.1260973,0.01310334,0.0004686912,0.005502048,0.2371096],"study_design_scores_gemma":[0.001271284,0.0003101224,0.7717331,0.00001902984,0.00001907367,0.001336498,0.00001856937,0.003896748,0.0004907066,0.000575374,0.2200456,0.0002838959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884243,0.00001793182,0.00001147856,0.007545467,0.0004920368,0.0000193449,0.00001093069,0.000002293659,0.003476192],"genre_scores_gemma":[0.9966145,0.00001839782,0.0003828282,0.001260718,0.00008209647,5.144818e-7,0.000007105664,0.000005788056,0.001628065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862314,"threshold_uncertainty_score":0.9984196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0039181279957643,"score_gpt":0.2087675546690661,"score_spread":0.2048494266733018,"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."}}