{"id":"W2625830234","doi":"10.1139/cjfr-2017-0051","title":"Bottom-up factors contribute to large-scale synchrony in spruce budworm populations","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Spruce budworm; Choristoneura fumiferana; Population cycle; Population; Biology; Trophic level; Ecology; Phenology; Climate change; Tortricidae; Lepidoptera genitalia; Predation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006075071,0.0002511887,0.0003046255,0.0006481833,0.0004927231,0.0007780864,0.0002386668,0.0002203362,0.000867265],"category_scores_gemma":[0.002179263,0.0002311536,0.0002724316,0.0003502819,0.0004387435,0.0004153447,0.0005877805,0.0001980165,0.0000941423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009255555,"about_ca_system_score_gemma":0.0005125886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04905116,"about_ca_topic_score_gemma":0.1229147,"domain_scores_codex":[0.9996984,0.00005348611,0.00002291611,0.00009703749,0.00005892771,0.00006936445],"domain_scores_gemma":[0.9988326,0.000287139,0.0004668275,0.0001164994,0.0001511494,0.0001457481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004767523,0.00001596646,0.9831013,0.00001934221,0.00009801887,0.00008034366,0.0002711539,0.001419355,0.009091792,0.0001146071,0.0001058506,0.005634524],"study_design_scores_gemma":[0.000001066569,0.00001305495,0.9977466,0.000002211485,0.0000142088,0.00001582266,0.0001187917,0.001738876,0.0001997043,0.00007726018,0.00006956722,0.000002748051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984185,0.0001087055,0.0008631884,0.00003095452,0.000003366488,0.0000061358,0.0001324675,0.00001427454,0.0004224836],"genre_scores_gemma":[0.9997236,0.00002073429,0.0001331465,0.000006059868,0.000002205006,0.000001668442,0.00006117799,0.000002320241,0.00004898932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9509488,"threshold_uncertainty_score":0.09753132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780436569286948,"score_gpt":0.36824602223266,"score_spread":0.2904416565397905,"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."}}