{"id":"W2611891293","doi":"10.1146/annurev-ecolsys-110316-022706","title":"Process-Based Models of Phenology for Plants and Animals","year":2017,"lang":"en","type":"article","venue":"Annual Review of Ecology Evolution and Systematics","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":273,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Phenology; Ecology; Key (lock); Process (computing); Ecosystem; Biology; Computer science","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":[0.001058475,0.0009948062,0.0009369562,0.001073105,0.0006723093,0.001671028,0.00269648,0.00223611,0.005761262],"category_scores_gemma":[0.002998815,0.0004679001,0.001900849,0.001400866,0.001278925,0.002457702,0.00132369,0.00202287,0.001292265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434774,"about_ca_system_score_gemma":0.001201803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01269361,"about_ca_topic_score_gemma":0.009146383,"domain_scores_codex":[0.9997124,0.0001045963,0.00001541862,0.00008481697,0.00004535731,0.00003741213],"domain_scores_gemma":[0.9989313,0.0006745969,0.0001457596,0.00006723085,0.00009013392,0.00009088166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002941797,0.00004219858,0.002967447,0.0002234096,0.0001118521,0.0001402455,0.0002601536,0.6738853,0.001199865,0.3013184,0.003557559,0.01626412],"study_design_scores_gemma":[0.00001730271,0.00002251988,0.00104689,0.00003670103,0.00004360517,0.00008218277,0.00003802933,0.862113,0.00009350055,0.1238357,0.01264703,0.00002362926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02855629,0.008545287,0.9337013,0.003318538,0.0004582986,0.00007729854,0.001397513,0.0004967205,0.02344867],"genre_scores_gemma":[0.735454,0.02080043,0.1942862,0.001160106,0.001342588,0.0009368889,0.002244317,0.0006878966,0.04308747],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01269361,"threshold_uncertainty_score":0.02523947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543102589249316,"score_gpt":0.3223571625184776,"score_spread":0.2769261366259845,"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."}}