{"id":"W2949410341","doi":"10.1111/gcb.14518","title":"Susceptibility of European freshwater fish to climate change: Species profiling based on life‐history and environmental characteristics","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Akademie Věd České Republiky; Alexander von Humboldt-Stiftung","keywords":"Freshwater fish; Climate change; Environmental change; Profiling (computer programming); Environmental science; Ecology; Fish <Actinopterygii>; Geography; Biology; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005234969,0.0002050941,0.0002476453,0.001716677,0.0002788542,0.0003582708,0.0001613838,0.0002832918,0.001227109],"category_scores_gemma":[0.0008435349,0.00009880774,0.0004250179,0.001119179,0.0002272593,0.0004872046,0.0005905899,0.0001089896,0.0001922026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514978,"about_ca_system_score_gemma":0.0001509515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003646781,"about_ca_topic_score_gemma":0.008699677,"domain_scores_codex":[0.9997742,0.00004485689,0.00002671575,0.00008377677,0.00002816219,0.00004234359],"domain_scores_gemma":[0.999527,0.00008876844,0.0001989562,0.00004030112,0.00007589842,0.00006909457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009862148,0.0000128153,0.9830937,0.00002451767,0.0001032118,0.00007242768,0.0003035986,0.0003630815,0.008257141,0.00003818673,0.000075623,0.00755702],"study_design_scores_gemma":[6.784281e-7,0.00002184079,0.9991783,0.0000036688,0.00001105675,0.00007196179,0.0001607354,0.0002094149,0.0001661899,0.00002728071,0.0001457668,0.000003080948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990616,0.0001175025,0.0003137323,0.000009445911,0.000001185428,0.000004160926,0.0002558773,0.000003520988,0.0002329685],"genre_scores_gemma":[0.99888,0.00007258133,0.0004596806,0.00001280939,0.000001681827,0.000007492784,0.0003939157,0.000002466437,0.0001692941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003646781,"threshold_uncertainty_score":0.007251143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839332277237559,"score_gpt":0.2338928279415941,"score_spread":0.1954995051692185,"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."}}