{"id":"W133503462","doi":"10.1023/a:1025549913965","title":"Patterns and Trends in Southern Ontario Lake ice Phenology","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Phenology; Climate change; Physical geography; Climatology; Cryosphere; Environmental science; Geography; Geology; Sea ice; Ecology; Oceanography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001797955,0.0001025337,0.0001237321,0.00007391884,0.0001163779,0.00001674931,0.00004882345,0.00007910119,0.00190547],"category_scores_gemma":[0.000001667883,0.00009169269,0.00001330683,0.00003147837,0.00009128918,0.00005595973,0.00001495281,0.0002798912,0.00003029979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005054914,"about_ca_system_score_gemma":0.00000931411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003916542,"about_ca_topic_score_gemma":0.09601325,"domain_scores_codex":[0.9991847,0.0001160463,0.0001080393,0.0002366103,0.00008939052,0.000265255],"domain_scores_gemma":[0.9997554,0.00006038095,0.0000235426,0.00008125282,7.019993e-7,0.00007865908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006053047,0.00002338711,0.9906459,0.00000292691,0.000009267653,0.00003182998,0.0006658572,0.00002234613,0.0000102828,0.00001124711,8.48828e-7,0.008570089],"study_design_scores_gemma":[0.0003540202,0.00009028544,0.9969423,0.000006211444,0.000005317757,0.00004396119,0.001603626,0.00002610079,0.00002309743,0.00008871915,0.0007227774,0.00009361767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953867,0.000339623,0.000003185696,0.00007533758,0.0001600812,0.00004145534,0.0000140973,0.000006710072,0.003972874],"genre_scores_gemma":[0.9980286,0.0001249754,0.0003350419,0.00001194264,0.00002085228,0.000002616797,0.00002780386,0.00000208783,0.001446046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0920967,"threshold_uncertainty_score":0.9990069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790481214213284,"score_gpt":0.250230956901529,"score_spread":0.2323261447593961,"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."}}