{"id":"W2004622093","doi":"10.1073/pnas.1319618111","title":"Effects of differential habitat warming on complex communities","year":2014,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ministry of Natural Resources and Forestry; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Habitat; Climate change; Ecosystem; Apex predator; Environmental science; Ecology; Food web; Boreal; Global warming; Predator; Biology; Predation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002581543,0.000189494,0.0001778163,0.0002767275,0.00045067,0.0004364371,0.0001673376,0.0002753726,0.002029498],"category_scores_gemma":[0.0009137623,0.0001244928,0.0002982526,0.0002001735,0.0005718779,0.0004837792,0.0007578777,0.0002731026,0.00009296934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004789166,"about_ca_system_score_gemma":0.0001877969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267194,"about_ca_topic_score_gemma":0.008284136,"domain_scores_codex":[0.9997879,0.0000832571,0.00001138392,0.00004724365,0.00002016512,0.00005001101],"domain_scores_gemma":[0.999524,0.0001176434,0.0001310203,0.00008642225,0.00004139852,0.00009953716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001755888,0.0003516403,0.5846109,0.0002248685,0.0007734055,0.0006257539,0.001519529,0.01620419,0.3555991,0.002771107,0.0007502104,0.03481328],"study_design_scores_gemma":[0.0000093223,0.0001722534,0.9927955,0.00000644161,0.00005214956,0.00009704189,0.0003398312,0.002247833,0.002821466,0.0008556371,0.0005924847,0.00001006749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991731,0.00004405214,0.0002545503,0.00003076729,0.000002620359,0.000002602185,0.00005098402,0.000007905069,0.0004334158],"genre_scores_gemma":[0.9996928,0.00002098729,0.0001591235,0.00002686103,0.000002105163,0.000003141938,0.00003167443,0.000001973575,0.00006134916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002267194,"threshold_uncertainty_score":0.006789386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04396801586526033,"score_gpt":0.271773613753442,"score_spread":0.2278055978881817,"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."}}