{"id":"W4406202408","doi":"10.29173/bluejay6388","title":"Skiing in a Wonderland: Winter Ecology","year":2024,"lang":"en","type":"article","venue":"Blue Jay","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecology; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009541021,0.00004097853,0.00005457498,0.00002358028,0.00004546158,0.000007398464,0.00006371593,0.00004584334,0.001692755],"category_scores_gemma":[0.00001160024,0.00003334741,0.00002007506,0.00007697253,0.00008077323,0.00005452905,0.0001447589,0.00008281526,0.002801633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006558458,"about_ca_system_score_gemma":0.000002502412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005190787,"about_ca_topic_score_gemma":0.003429658,"domain_scores_codex":[0.9996376,0.00001857987,0.00004869905,0.0001358053,0.00003295462,0.000126328],"domain_scores_gemma":[0.9998884,0.00004912449,0.000005350061,0.00004207741,5.99947e-7,0.0000143998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004801158,0.00002180177,0.9734027,0.000004802101,0.000009475939,0.000116978,0.001731089,0.00003190319,0.0002474843,0.00004068369,0.02266594,0.001722285],"study_design_scores_gemma":[0.0001010076,0.00004184515,0.9295028,0.00000828393,0.00000629928,0.000008824975,0.0003488675,0.0001387664,0.0001712646,0.0003763798,0.06922239,0.00007327163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812641,0.00006198363,0.000007718356,0.001638127,0.0002408218,0.00004303263,0.000001619822,0.00002625429,0.01671642],"genre_scores_gemma":[0.9964429,0.00001237522,0.00008216823,0.0004770733,0.00001809704,0.000003151783,7.506889e-7,0.000001566764,0.002961917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04655645,"threshold_uncertainty_score":0.9992198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00911202077747107,"score_gpt":0.2166080325271185,"score_spread":0.2074960117496474,"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."}}