{"id":"W4286698116","doi":"10.3389/fevo.2022.869130","title":"What Drives Reproductive Maturity and Efficiency in Serotinous Boreal Conifers?","year":2022,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; Wilfrid Laurier University","funders":"Aurora Research Institute; Wilfrid Laurier University","keywords":"Basal area; Maturity (psychological); Ecology; Ecotone; Boreal; Taiga; Black spruce; Biology; Reproductive success; Fire regime; Ecosystem; Geography; Population; Habitat; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0002847576,0.0001146902,0.000140434,0.0003425487,0.0002825226,0.0005815496,0.0002254666,0.000215508,0.0009909713],"category_scores_gemma":[0.001274747,0.0001302548,0.0001212531,0.0002267652,0.0003141976,0.0003238749,0.000189173,0.0002018631,0.0001139073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439019,"about_ca_system_score_gemma":0.0002073951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111495,"about_ca_topic_score_gemma":0.03713282,"domain_scores_codex":[0.9998704,0.00002354013,0.000007530703,0.00004813791,0.00001929637,0.00003101334],"domain_scores_gemma":[0.9989936,0.0002292072,0.0004817624,0.00003699206,0.00007320329,0.0001852857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003847702,0.00001844708,0.9906255,0.00001368292,0.0000218728,0.00005824396,0.000193048,0.0001441365,0.005165526,0.00009248907,0.00005007874,0.003578429],"study_design_scores_gemma":[2.639366e-7,0.000006222809,0.9997095,0.000001217324,0.000001476245,0.00002788338,0.00005008756,0.00008047505,0.00005688735,0.00002067383,0.00004435312,8.848262e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990901,0.0002327502,0.0001114868,0.00002203705,0.000001209403,0.000002981835,0.00007601907,0.000003325932,0.0004602096],"genre_scores_gemma":[0.9996872,0.0000561474,0.00005766954,0.0000101189,0.000002810502,0.000001367874,0.00005663826,0.000001405882,0.0001266997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111495,"threshold_uncertainty_score":0.02216917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002859836382855727,"score_gpt":0.1865218337251927,"score_spread":0.183661997342337,"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."}}