{"id":"W1995107638","doi":"10.1016/j.ecolmodel.2003.11.010","title":"The gypsy moth life stage model: landscape-wide estimates of gypsy moth establishment using a multi-generational phenology model","year":2004,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Gypsy moth; Phenology; Range (aeronautics); PEST analysis; Lymantria dispar; Ecology; Diapause; Climate change; Geography; Larva; Biology","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":[0.001422864,0.0006090004,0.0007667255,0.0005585249,0.0003776827,0.0005508437,0.001816244,0.0009136082,0.001996164],"category_scores_gemma":[0.002348833,0.0005456374,0.0008936968,0.0004933597,0.0003769272,0.0009122069,0.0006275316,0.0007436157,0.000358804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000932556,"about_ca_system_score_gemma":0.0006653145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02429371,"about_ca_topic_score_gemma":0.02402523,"domain_scores_codex":[0.9997833,0.00009881551,0.000008315274,0.00005824797,0.00001480645,0.00003654034],"domain_scores_gemma":[0.999213,0.0004612888,0.0001249099,0.00007257514,0.00005807577,0.00007006826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001501941,0.00004866151,0.009037736,0.00002847057,0.0001623999,0.00007739051,0.00006720675,0.9788213,0.001616069,0.0035258,0.0004158393,0.006048921],"study_design_scores_gemma":[0.00003198875,0.00001613955,0.002661338,0.000002939146,0.00004158824,0.00003160414,0.00000624181,0.9956125,0.0001286005,0.001268378,0.0001909443,0.000007773141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8210398,0.0004351671,0.1746329,0.0003643378,0.00002886687,0.00004622036,0.001285351,0.0003078835,0.001859554],"genre_scores_gemma":[0.9738228,0.0002222961,0.02223612,0.00005235638,0.00002159956,0.0000883645,0.0006990015,0.00007886437,0.002778717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02429371,"threshold_uncertainty_score":0.04830462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086445215434036,"score_gpt":0.2529758255821065,"score_spread":0.2121113734277661,"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."}}