{"id":"W2792295653","doi":"10.1007/s10342-017-1095-7","title":"Effects of competition and climate variables on modelling height to live crown for three boreal tree species in Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry","funders":"Government of Alberta","keywords":"Pinus contorta; Basal area; Site index; Black spruce; Environmental science; Crown (dentistry); Mixed model; Boreal; Competition (biology); Ecology; Plant ecology; Taiga; Forestry; Mathematics; Biology; Geography; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718079,0.00007677502,0.0001410662,0.0001195783,0.0001370334,0.00001984252,0.0002447091,0.00001507119,0.00008326412],"category_scores_gemma":[0.00014546,0.00006132202,0.00002394189,0.0001395316,0.0002412137,0.00008608933,0.0001814505,0.000164112,0.00002529128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408571,"about_ca_system_score_gemma":0.00003317028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04139685,"about_ca_topic_score_gemma":0.7921963,"domain_scores_codex":[0.9987394,0.0002161002,0.0002537005,0.0001428285,0.0003317758,0.0003161871],"domain_scores_gemma":[0.9991859,0.0004650979,0.00008643443,0.0001020546,0.00005067941,0.0001097869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009329779,0.001373624,0.5400944,0.0008207778,0.0002419798,0.001517932,0.006588256,0.1740565,0.002498517,0.1879035,0.06106514,0.01450955],"study_design_scores_gemma":[0.0008540993,0.002477781,0.9824452,0.0001851844,0.000008673907,0.000006523783,0.00007451542,0.004024637,0.0006853117,0.00220293,0.006950757,0.0000844075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740101,0.00001582819,0.002424696,0.0004447474,0.0000919466,0.0003204153,0.000003416305,0.000001289703,0.0226876],"genre_scores_gemma":[0.9985152,0.00004256736,0.001038073,0.00005748868,0.00008715483,0.000003453459,0.000001283046,0.00001104401,0.0002436664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7507995,"threshold_uncertainty_score":0.9649866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183739233264063,"score_gpt":0.2503190300366244,"score_spread":0.2284816377039838,"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."}}