{"id":"W4402377681","doi":"10.1051/limn/2024014","title":"Winter is not coming: evaluating impacts of changing winter conditions on coregonine reproductive phenology","year":2024,"lang":"en","type":"article","venue":"International Journal of Limnology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Park Service; U.S. Geological Survey; Université Savoie Mont Blanc; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Wisconsin Department of Natural Resources; Ministry of Natural Resources; Ontario Ministry of Natural Resources and Forestry; New York State Department of Environmental Conservation; National Science Foundation","keywords":"Phenology; Climate change; Ecology; Subarctic climate; Population; Environmental science; Global warming; Geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005734527,0.0004254914,0.0002925818,0.0002896603,0.0003315482,0.0006644127,0.0006608495,0.0006837235,0.0009528424],"category_scores_gemma":[0.001640005,0.0003150008,0.0006620154,0.0002815483,0.0002948357,0.0006146659,0.0004442036,0.0003375103,0.00007130665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720375,"about_ca_system_score_gemma":0.00107814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08691943,"about_ca_topic_score_gemma":0.09098322,"domain_scores_codex":[0.9998609,0.00005035437,0.000006717303,0.00003919011,0.00001149719,0.00003147134],"domain_scores_gemma":[0.9993644,0.0003144599,0.0001137205,0.00002878301,0.00006145073,0.0001170501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007435841,0.0004182417,0.4553531,0.00007904025,0.0004127644,0.0001986938,0.000219075,0.5316988,0.003778714,0.0003509319,0.0004084605,0.006338526],"study_design_scores_gemma":[0.0001063697,0.0009314594,0.2507423,0.00001615668,0.0001925908,0.00004300947,0.0005161226,0.7453631,0.001322118,0.0003267933,0.0004054702,0.00003455394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993804,0.00001179196,0.0001977933,0.00001962132,0.000001904263,0.000008882142,0.0001633817,0.00001139598,0.0002048505],"genre_scores_gemma":[0.9989041,0.00001802832,0.000524027,0.00001671764,0.000001773889,0.0000230445,0.0003700639,0.00000515464,0.0001370114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08691943,"threshold_uncertainty_score":0.172827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423786098931404,"score_gpt":0.3436953317085927,"score_spread":0.3094574707192786,"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."}}