{"id":"W4389319352","doi":"10.2139/ssrn.4653340","title":"Interactions between Climate, Soil and Competition Drive Tree Growth in Quebec Forests","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Competition (biology); Tree (set theory); Environmental science; Climate change; Agroforestry; Forestry; Ecology; Geography; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004443842,0.0002144244,0.0003519804,0.0004733735,0.0009866877,0.001509037,0.0005798814,0.0005957067,0.01158879],"category_scores_gemma":[0.001446746,0.0001637689,0.0002589305,0.0007766807,0.0006606823,0.0005141983,0.000327084,0.0003986018,0.0005161021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01101835,"about_ca_system_score_gemma":0.004228048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770712,"about_ca_topic_score_gemma":0.9890848,"domain_scores_codex":[0.9998136,0.0000512671,0.000004300634,0.00003970117,0.00002696731,0.00006422312],"domain_scores_gemma":[0.9987909,0.0005894931,0.0001199898,0.00003284879,0.000195116,0.000271601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004808311,0.0002008066,0.9477233,0.00008126632,0.0002182837,0.0002461712,0.001200636,0.01143245,0.006519435,0.00221262,0.0059011,0.02378303],"study_design_scores_gemma":[0.00001517892,0.00002071818,0.98778,0.00001572517,0.00003263147,0.00002175678,0.0006874002,0.009517757,0.0001251126,0.0003043208,0.001463524,0.00001580356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951109,0.0004296852,0.000188467,0.0003262189,0.00000741844,0.000005328585,0.0008506792,0.00001746026,0.003063795],"genre_scores_gemma":[0.9962203,0.0001294568,0.0001220694,0.00004768379,0.000004093107,0.000003506795,0.0002421079,0.000009466695,0.003221275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292877,"threshold_uncertainty_score":0.07994413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009037103400981981,"score_gpt":0.2416183569833554,"score_spread":0.2325812535823734,"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."}}